控制系统可诊断性的内涵与研究综述
|
摘要
作为表征控制系统故障诊断能力的属性,故障可诊断性揭示了故障诊断深层次的内涵.将可诊断性分析纳入控制系统与诊断方案的设计环节,可以从根本上提高系统对故障的诊断能力,为研究故障诊断提供新的思路.本文分别从可诊断性的内涵、研究现状以及潜在发展趋势三个角度系统地对可诊断性进行分析.首先,从定义、影响因素、与已有概念的关系以及应用四个方面剖析了控制系统可诊断性的内涵和研究意义.其次,分别从可诊断性评价与设计两个方面对可诊断性的研究现状进行分析.最后,通过对可诊断性已有成果进行总结归纳,探讨了可诊断性研究存在的不足以及未来发展的趋势.
As a property describing fault diagnosis ability of control systems, diagnosability reveals deep insight into fault diagnosis. The fault diagnosis ability can be fundamentally improved by incorporating diagnosability analysis into the designs of control systems and diagnosis programs, which provides a new way for the study of fault diagnosis. To systematically analyze the diagnosability, the connotations, research status and potential research tendencies of diagnosability are discussed. First of all, the concept and research significance of diagnosability are summarized from four sides, definition, influence factors, relationships between diagnosability and other concepts, and applications. Moreover,the current research status of diagnosability is discussed in terms of diagnosability evaluation and design. Finally, the deficiency and prospects of diagnosability study are predicated based on existing results.
As a property describing fault diagnosis ability of control systems, diagnosability reveals deep insight into fault diagnosis. The fault diagnosis ability can be fundamentally improved by incorporating diagnosability analysis into the designs of control systems and diagnosis programs, which provides a new way for the study of fault diagnosis. To systematically analyze the diagnosability, the connotations, research status and potential research tendencies of diagnosability are discussed. First of all, the concept and research significance of diagnosability are summarized from four sides, definition, influence factors, relationships between diagnosability and other concepts, and applications. Moreover,the current research status of diagnosability is discussed in terms of diagnosability evaluation and design. Finally, the deficiency and prospects of diagnosability study are predicated based on existing results.
引文
1 Biswal M,Brahma S M,Cao H P.Supervisory protection and automated event diagnosis using PMU data.IEEETransactions on Power Delivery,2016,31(4):1855-1863
2 Teixeira A,Shames I,Sandberg H,Johansson K H.Asecure control framework for resource-limited adversaries.Automatica,2015,51:135-148
3 Keliris C,Polycarpou M M,Parisini T.An integrated learning and filtering approach for fault diagnosis of a class of nonlinear dynamical systems.IEEE Transactions on Neural Networks and Learning Systems,2017,28(4):988-1004
4 Gao Z W,Ding S X,Cecati C.Real-time fault diagnosis and fault-tolerant control.IEEE Transactions on Industrial Electronics,2015,62(6):3752-3756
5 Jiang B,Staroswiecki M,Cocquempot V.Fault accommodation for nonlinear dynamic systems.IEEE Transactions on Automatic Control,2006,51(9):1578-1583
6 Wang T Z,Qi J,Xu H,Wang Y D,Liu L,Gao D J.Fault diagnosis method based on FFT-RPCA-SVM for cascaded-multilevel inverter.ISA Transactions,2016,60:156-163
7 Tang B P,Song T,Li F,Deng L.Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine.Renewable Energy,2014,62:1-9
8 Yin S,Zhu X P.Intelligent particle filter and its application to fault detection of nonlinear system.IEEE Transactions on Industrial Electronics,2015,62(6):3852-3861
9 Sun F C,Liu H P,He K Z,Sun Z Q.Reduced-order H∞filtering for linear systems with Markovian jump parameters.Systems and Control Letters,2005,54(8):739-746
10 Hua Yong-Zhao,Li Qing-Dong,Ren Zhang,Liu ChengRui.Overview of fault diagnosability evaluation methods for continuous systems.Control and Decision,2016,31(12):2113-2121(化永朝,李清东,任章,刘成瑞.连续系统故障可诊断性评价方法综述.控制与决策,2016,31(12):2113-2121)
11 Liu Wen-Jing,Liu Cheng-Rui,Wang Nan-Hua.Overview of fault diagnosability evaluation and design.Aerospace Control,2011,29(6):72-78,87(刘文静,刘成瑞,王南华.故障可诊断性评价与设计研究进展.航天控制,2011,29(6):72-78,87)
12 IEEE Trial-Use Standard for Testability and Diagnosability Characteristics and Metrics,IEEE Standard 1522,2004.
13 Wang D W,Yu M,Low C B,Arogeti S.Modelbased Health Monitoring of Hybrid Systems.New York:Springer,2013.2-16
14 Gertler J.Fault Detection and Diagnosis in Engineering Systems.New York:Marcel Dekker,1998.1-22
15 Ding S X.Model-based Fault Diagnosis Techniques:Design Schemes,Algorithms and Tools.Berlin Heidelberg:Springer-Verlag,2008.51-68
16 Chi G Y,Wang D W,Zhu S Q.An integrated approach for sensor placement in linear dynamic systems.Journal of the Franklin Institute,2015,352(3):1056-1079
17 Eriksson D,Frisk E,Krysander M.A method for quantitative fault diagnosability analysis of stochastic linear descriptor models.Automatica,2013,49(6):1591-1600
18 Scott J K,Findeisen R,Braatz R D,Raimondo D M.Design of active inputs for set-based fault diagnosis.In:Proceedings of the 2013 American Control Conference.Washington,DC,USA:IEEE,2013.3561-3566
19 Du?stegor D,Frisk E,Cocquempot V,Krysander M,Staroswiecki M.Structural analysis of fault isolability in the DAMADICS benchmark.Control Engineering Practice,2006,14(6):597-608
20 Krysander M,Frisk E.Sensor placement for fault diagnosis.IEEE Transactions on Systems,Man,and Cybernetics,Part A:Systems and Humans,2008,38(6):1398-1410
21 Leal R,Aguilar J,Trav′e-Massuy′es L,Camargo E,R′?os A.An approach for diagnosability analysis and sensor placement for continuous processes based on evolutionary algorithms and analytical redundancy.Applied Mathematical Sciences,2015,9(43):2125-2146
22 Sun F C,Li L,Li H X,Liu H P.Neuro-fuzzy dynamicinversion-based adaptive control for robotic manipulators-discrete time case.IEEE Transactions on Industrial Electronics,2007,54(3):1342-1351
23 Sun F C,Li H X,Lei L.Robot discrete adaptive control based on dynamic inversion using dynamical neural networks.Automatica,2002,38(11):1977-1983
24 Zheng W H,Jia Y M.Leader-follower formation control of mobile robots with sliding mode.Journal of Robotics,Networking and Artificial Life,2017,4(1):10-13
25 Gertler J J.Survey of model-based failure detection and isolation in complex plants.IEEE Control Systems Magazine,1988,8(6):3-11
26 Kouadri A,Bensmail A,Kheldoun A,Refoufi L.An adaptive threshold estimation scheme for abrupt changes detection algorithm in a cement rotary kiln.Journal of Computational and Applied Mathematics,2014,259:835-842
27 Fu Fang-Zhou,Wang Da-Yi,Li Wen-Bo.Multiple fault detection and isolation based on Kalman filters.Control Theory and Applications,2017,34(5):586-593(符方舟,王大轶,李文博.基于卡尔曼滤波器组的多重故障诊断方法研究.控制理论与应用,2017,34(5):586-593)
28 Niu G,Zhao Y J,Tran V T.Fault detection and isolation based on bond graph modeling and empirical residual evaluation.Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2015,229(3):417-428
29 Chilin D,Liu J F,Chen X Z,Christofides P D.Fault detection and isolation and fault tolerant control of a catalytic alkylation of benzene process.Chemical Engineering Science,2012,78:155-166
30 Fu Fang-Zhou,Wang Da-Yi,Li Wen-Bo.Sensor fault detection based on hierarchical stochastic gradient identification algorithm.Aerospace Control and Application,2016,42(4):12-17(符方舟,王大轶,李文博.基于分层随机梯度辨识算法的传感器故障检测方法.空间控制技术与应用,2016,42(4):12-17)
31 National Standard.GJB 451A-2005 Reliability,Maintainability and Supportability Terms,2005.(国家标准.GJB 451A-2005可靠性维修性保障性术语,2005.)
32 Frank P M.Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy:a survey and some new results.Automatica,1990,26(3):459-474
33 Venkatasubramanian V,Rengaswamy R,Yin K,Kavuri SN.A review of process fault detection and diagnosis,Part I:quantitative model-based methods.Computers and Chemical Engineering,2003,27(3):293-311
34 Venkatasubramanian V,Rengaswamy R,Kavuri S N.Areview of process fault detection and diagnosis,Part II:qualitative models and search strategies.Computers and Chemical Engineering,2003,27(3):313-326
35 Venkatasubramanian V,Rengaswamy R,Kavuri S N,Yin K.A review of process fault detection and diagnosis,Part III:process history based methods.Computers and Chemical Engineering,2003,27(3):327-346
36 Li Juan,Zhou Dong-Hua,Si Xiao-Sheng,Chen Mao-Yin,Xu Chun-Hong.Review of incipient fault diagnosis methods.Control Theory and Applications,2012,29(12):1517-1529(李娟,周东华,司小胜,陈茂银,徐春红.微小故障诊断方法综述.控制理论与应用,2012,29(12):1517-1529)
37 Zhou Dong-Hua,Shi Jian-Tao,He Xiao.Review of intermittent fault diagnosis techniques for dynamic systems.Acta Automatica Sinica,2014,40(2):161-171(周东华,史建涛,何潇.动态系统间歇故障诊断技术综述.自动化学报,2014,40(2):161-171)
38 Zhang B,Jia Y M,Matsuno F,Endo T.Task-space synchronization of networked mechanical systems with uncertain parameters and communication delays.IEEE Transactions on Cybernetics,2017,47(8):2288-2298
39 Apkarian P,Gahinet P.A convex characterization of gainscheduled H∞controllers.IEEE Transactions on Automatic Control,1995,40(5):853-864
40 Park S,Park Y,Park Y S.Degree of fault isolability and active fault diagnosis for redundantly actuated vehicle system.International Journal of Automotive Technology,2016,17(6):1045-1053
41 Du Y C,Duever T A,Budman H.Fault detection and diagnosis with parametric uncertainty using generalized polynomial chaos.Computers and Chemical Engineering,2015,76:63-75
42 Hou L Q,Bergmann N W.Novel industrial wireless sensor networks for machine condition monitoring and fault diagnosis.IEEE Transactions on Instrumentation and Measurement,2012,61(10):2787-2798
43 Liu W J,Teng B Y.Application of weighted evidence theory in the space-earth fault diagnosis result fusion of spacecraft.In:Proceedings of the 12th World Congress on Intelligent Control and Automation.Guilin,China:IEEE,2016.1742-1748
44 Kelkar S,Kamal R.Adaptive fault diagnosis algorithm for controller area network.IEEE Transactions on Industrial Electronics,2014,61(10):5527-5537
45 Liu Wen-Jing,Wang Nan-Hua.FD for spacecraft control system with resource constraint.Journal of Astronautics,2011,32(7):1527-1533(刘文静,王南华.面向资源约束航天器控制系统的故障检测研究.宇航学报,2011,32(7):1527-1533)
46 Jia Y M.General solution to diagonal model matching control of multiple-output-delay systems and its applications in adaptive scheme.Progress in Natural Science,2009,19(1):79-90
47 Yang F W,Li Y M.Set-membership filtering for systems with sensor saturation.Automatica,2009,45(8):1896-1902
48 Wang H,Huang Z J,Daley S.On the use of adaptive updating rules for actuator and sensor fault diagnosis.Automatica,1997,33(2):217-225
49 Ding S X,Zhong M Y,Tang B Y,Zhang P.An LMI approach to the design of fault detection filter for time-delay LTI systems with unknown inputs.In:Proceedings of the2001 American Control Conference.Arlington,VA,USA:IEEE,2001.2137-2142
50 Shen Q K,Jiang B,Shi P.Active fault-tolerant control against actuator fault and performance analysis of the effect of time delay due to fault diagnosis.International Journal of Control Automation and Systems,2017,15(2):537-546
51 Russell E L,Chiang L H,Braatz R D.Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis.Chemometrics and Intelligent Laboratory Systems,2000,51(1):81-93
52 Han L,Li C W,Guo S L,Su X W.Feature extraction method of bearing AE signal based on improved FAST-ICA and wavelet packet energy.Mechanical Systems and Signal Processing,2015,62-63:91-99
53 Sun J W,Xi L F,Pan E S,Du S C,Xia T B.Design for diagnosability of multistation manufacturing systems based on sensor allocation optimization.Computers in Industry,2009,60(7):501-509
54 Wang X Q,Zhao Y,Wang D,Zhu H J,Zhang Q.Improved multi-objective ant colony optimization algorithm and its application in complex reasoning.Chinese Journal of Mechanical Engineering,2013,26(5):1031-1040
55 Lee J M,Qin S J,Lee I B.Fault detection and diagnosis based on modified independent component analysis.AIChE Journal,2006,52(10):3501-3514
56 Ye H,Wang G,Ding S X.A new parity space approach for fault detection based on stationary wavelet transform.IEEE Transactions on Automatic Control,2004,49(2):281-287
57 Kaufman M,Sheppard J.P1522:a formal standard for testability and diagnosability measures.In:Proceedings of the 1999 IEEE Systems Readiness Technology Conference.San Antonio,Texas,USA:IEEE,1999.411-418
58 Provan G.System diagnosability analysis using modelbased diagnosis tools.In:Proceedings of the 2001Aerospace/Def-ense Sensing,Simulation,and Controls.Orlando,FL,USA:SPIE,2001.93-101
59 Pattipati K R,Raghavan V,Shakeri M,Deb S,Shrestha R.TEAMS:testability engineering and maintenance system.In:Proceedings of the 1994 American Control Conference.Baltimore,Maryland,USA:IEEE,1994.1989-1995
60 Wey C L.Design of testability for analogue fault diagnosis.International Journal of Circuit Theory and Applications,1987,15(2):123-142
61 Simpson W R,Sheppard J W.System Test and Diagnosis.US:Springer,1994.139-190
62 Li K S M,Chang Y W,Lee C L,Su C,Chen J E.Multilevel full-chip routing with testability and yield enhancement.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2007,26(9):1625-1636
63 Ungar L Y.Economic evaluation of testability and diagnosability for commercial off the shelf equipment.In:Proceedings of the 2010 AUTOTESTCON.Orlando,USA:IEEE,2010.1-5
64 Le Traon Y,Ouabdesselam F,Robach C,Baudry B.From diagnosis to diagnosability:axiomatization,measurement and application.Journal of Systems and Software,2003,65(1):31-50
65 National Standard.GJB 3385-98 Terms for Testing and Diagnostics,1998.(国家标准.GJB 3385-98测试与诊断术语,1998.)
66 Sheppard J W,Kaufman M.Formal specification of testability metrics in IEEE P1522.In:Proceedings of the2001 IEEE Systems Readiness Technology Conference,AUTOTESTCON.Valley Forge,PA,USA:IEEE,2001.71-82
67 Magni J F,Mouyon P.On residual generation by observer and parity space approaches.IEEE Transactions on Automatic Control,1994,39(2):441-447
68 Diop S,Mart′?nez-Guerra R.On an algebraic and differential approach of nonlinear systems diagnosis.In:Proceedings of the 40th IEEE Conference on Decision and Control.Orlando,Florida,USA:IEEE,2001.585-589
69 Huber J,Kopecek H,Hofbaur M.Sensor selection for fault parameter identification applied to an internal combustion engine.In:Proceedings of the 2014 IEEE Conference on Control Applications.Juan Les Antibes,France:IEEE,2014.89-96
70 Wu N E,Zhou K M,Salomon G.Control reconfigurability of linear time-invariant systems.Automatica,2000,36(11):1767-1771
71 Wang Da-Yi,Tu Yuan-Yuan,Liu Cheng-Rui,He Ying-Zi,Li Wen-Bo.Connotation and research of reconfigurability for spacecraft control systems:a review.Acta Automatica Sinica,2017,43(10):1687-1702(王大轶,屠园园,刘成瑞,何英姿,李文博.航天器控制系统可重构性的内涵与研究综述.自动化学报,2017,43(10):1687-1702)
72 Svard C,Nyberg M,Frisk E.Realizability constrained selection of residual generators for fault diagnosis with an automotive engine application.IEEE Transactions on Systems,Man,and Cybernetics:Systems,2013,43(6):1354-1369
73 Cocquempot V,Izadi-Zamanabadi R,Staroswiecki M,Blanke M.Residual generation for the ship benchmark using structural approach.In:Proceedings of the 1998UKACC International Conference on Control.Swansea,UK:IET,1998.1480-1485
74 Izadi-Zamanabadi R.Structural analysis approach to fault diagnosis with application to fixed-wing aircraft motion.In:Proceedings of the 2002 American Control Conference.Anchorage,USA:IEEE,2002.3949-3954
75 Bozzano M,Cimatti A,Katoen J P,Nguyen V Y,Noll T,Roveri M.The COMPASS approach:correctness,modelling and performability of aerospace systems.In:Proceedings of the 28th International Conference on Computer Safety,Reliability,and Security.Heidelberg,Berlin,Germany:Springer-Verlag,2009.173-186
76 Roychoudhury I,Biswas G,Koutsoukos X.Designing distributed diagnosers for complex continuous systems.IEEETransactions on Automation Science and Engineering,2009,6(2):277-290
77 Svard C,Nyberg M.Automated design of an FDI system for the wind turbine benchmark.Journal of Control Science and Engineering,2012,2012:Article ID 989873
78 Eriksson D,Krysander M,Frisk E.Quantitative fault diagnosability performance of linear dynamic descriptor models.In:Proceedings of the 22nd International Workshop on Principles of Diagnosis.Murnau,Germany,2011.1-8
79 Hao J J,Kinnaert M.Sensor fault detection and isolation over wireless sensor network based on hardware redundancy.Journal of Physics:Conference Series,2017,783(1):012006
80 Chen J L,Sun H L,Wang S,He Z J.Quantitative index and abnormal alarm strategy using sensor-dependent vibration data for blade crack identification in centrifugal booster fans.Sensors,2016,16(5):632
81 Sharifi R,Langari R.Sensor fault diagnosis with a probabilistic decision process.Mechanical Systems and Signal Processing,2013,34(1-2):146-155
82 Varga A.Solving Fault Diagnosis Problems.New York:Springer,2017.9-25
83 Patton R J,Chen J.Observer-based fault detection and isolation:robustness and applications.Control Engineering Practice,1997,5(5):671-682
84 Del Gobbo D,Napolitano M R.Issues in fault detectability for dynamic systems.In:Proceedings of the 2000 American Control Conference.Chicago,Illinois,USA:IEEE,2000.3203-3207
85 Varga A.Design of fault detection filters for periodic systems.In:Proceedings of the 40th IEEE Conference on Decision and Control.Nassau,Bahamas:IEEE,2004.4800-4805
86 Koscielny J M,Syfert M,Rostek K,Sztyber A.Fault isolability with different forms of the faults-symptoms relation.International Journal of Applied Mathematics and Computer Science,2016,26(4):815-826
87 Nyberg M.Criterions for detectability and strong detectability of faults in linear systems.International Journal of Control,2002,75(7):490-501
88 Heintz F,Krysander M,Roll J,Frisk E.FlexDx:a reconfigurable diagnosis framework.In:Proceedings of the19th International Workshop on Principles of Diagnosis DX.Blue Mountains,Australia,2008.79-86
89 Nyberg M,Frisk E.Residual generation for fault diagnosis of systems described by linear differential-algebraic equations.IEEE Transactions on Automatic Control,2006,51(12):1995-2000
90 Liu B,Si J.Fault isolation filter design for linear timeinvariant systems.IEEE Transactions on Automatic Control,1997,42(5):704-707
91 Ding Y,Shi J J,Ceglarek D.Diagnosability analysis of multi-station manufacturing processes.Journal of Dynamic Systems,Measurement,and Control,2001,124(1):1-13
92 Li Wen-Bo,Wang Da-Yi,Liu Cheng-Rui.Quantitative fault diagnosis ability evaluation for control systems with disturbances.Control Theory and Applications,2015,32(6):744-752(李文博,王大轶,刘成瑞.有干扰的控制系统故障可诊断性量化评估.控制理论与应用,2015,32(6):744-752)
93 Fu Fang-Zhou,Wang Da-Yi,Li Wen-Bo.Quantitative evaluation of actual LOE fault diagnosability for dynamic systems.Acta Automatica Sinica,2017,43(11):1941-1949(符方舟,王大轶,李文博.复杂动态系统的实际非完全失效故障的可诊断性评估.自动化学报,2017,43(11):1941-1949)
94 Li Wen-Bo,Wang Da-Yi,Liu Cheng-Rui.Quantitative evaluation of actual fault diagnosability for dynamic systems.Acta Automatica Sinica,2015,41(3):497-507(李文博,王大轶,刘成瑞.动态系统实际故障可诊断性的量化评价研究.自动化学报,2015,41(3):497-507)
95 Huang Lin,Geng Zhi-Yong,Wang Jin-Zhi,Duan ZhiSheng,Yang Ying.Problems in control and intrinsic nonlinearities.Acta Automatica Sinica,2007,33(10):1009-1013(黄琳,耿志勇,王金枝,段志生,杨莹.控制与本质非线性问题.自动化学报,2007,33(10):1009-1013)
96 Frisk E,Aslund J.Lowering orders of derivatives in nonlinear residual generation using realization theory.Automatica,2005,41(10):1799-1807
97 Zhang X D,Parisini T,Polycarpou M M.Sensor bias fault isolation in a class of nonlinear systems.IEEE Transactions on Automatic Control,2005,50(3):370-376
98 Zhang X D.Sensor bias fault detection and isolation in a class of nonlinear uncertain systems using adaptive estimation.IEEE Transactions on Automatic Control,2011,56(5):1220-1226
99 Ferrari R M G,Parisini T,Polycarpou M M.Distributed fault detection and isolation of large-scale discrete-time nonlinear systems:an adaptive approximation approach.IEEE Transactions on Automatic Control,2012,57(2):275-290
100 Peng X F,Lin L X,Zhong X Y,Liu C R.Methods for fault diagnosability analysis of a class of affine nonlinear systems.Mathematical Problems in Engineering,2015,2015:Article ID 409184
101 Xing Z R,Xia Y Q.Evaluation and design of actuator fault diagnosability for nonlinear affine uncertain systems with unknown indeterminate inputs.International Journal of Adaptive Control and Signal Processing,2017,31(1):122-137
102 Li Wen-Bo,Wang Da-Yi,Liu Cheng-Rui.An approach to fault diagnosability quantitative evaluation for a class of nonlinear systems.Journal of Astronautics,2015,36(4):455-462(李文博,王大轶,刘成瑞.一类非线性系统的故障可诊断性量化评价方法.宇航学报,2015,36(4):455-462)
103 Jiang Dong-Nian,Li Wei,Wang Jun.Fault diagnosability quantitative evaluation and method of fault diagnosis for nonlinear system.Journal of Huazhong University of Science and Technology:Natural Science Edition,2016,44(12):102-108(蒋栋年,李炜,王君.非线性系统故障可诊断性量化评价及诊断方法.华中科技大学学报:自然科学版,2016,44(12):102-108)
104 Cabasino M P,Giua A,Seatzu C.Diagnosability of discrete-event systems using labeled Petri nets.IEEETransactions on Automation Science and Engineering,2014,11(1):144-153
105 Haar S,Benveniste A,Fabre E,Jard C.Partial order diagnosability of discrete event systems using petri net unfoldings.In:Proceedings of the 42nd IEEE Conference on Decision and Control.Maui,HI,USA:IEEE,2003.3748-3753
106 Koscielny J M,Barty′s M,Rzepiejewski P,S′ada Costa J.Actuator fault distinguishability study for the DAMADICS benchmark problem.Control Engineering Practice,2006,14(6):645-652
107 Liu J,Hua Y Z,Li Q D,Ren Z.Fault diagnosability qualitative analysis of spacecraft based on temporal fault signature matrix.In:Proceedings of the 2016 IEEE Chinese Guidance,Navigation and Control Conference.Nanjing,China:IEEE,2017.1496-1500
108 Mekki T,Triki S,Kamoun A.A qualitative approach to single fault isolation in switching systems.In:Proceedings of the 14th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering.Sousse,Tunisia:IEEE,2013.220-224
109 Chittaro L,Ranon R.Hierarchical model-based diagnosis based on structural abstraction.Artificial Intelligence,2004,155(1-2):147-182
110 Genesereth M R.The use of design descriptions in automated diagnosis.Artificial Intelligence,1984,24(1-3):411-436
111 Pucel X,Mayer W,Stumptner M.Diagnosability analysis without fault models.In:Proceedings of the 20th International Workshop on Principles of Diagnosis.Stockholm,Sweden,2009.67-74
112 Li Han,Xiao De-Yun.Survey on data driven fault diagnosis methods.Control and Decision,2011,26(1):1-9(李晗,萧德云.基于数据驱动的故障诊断方法综述.控制与决策,2011,26(1):1-9)
113 Dunia R,Joe Qin S.Subspace approach to multidimensional fault identification and reconstruction.AIChE Journal,1998,44(8):1813-1831
114 Yue H H,Qin S J.Reconstruction-based fault identification using a combined index.Industrial and Engineering Chemistry Research,2001,40(20):4403-4414
115 Charbonnier S,Bouchair N,Gayet P.Fault template extraction to assist operators during industrial alarm floods.Engineering Applications of Artificial Intelligence,2016,50:32-44
116 Hua Y Z,Li Q D,Ren Z,Liu C R.A data driven method for quantitative fault diagnosability evaluation.In:Proceedings of the 2016 Chinese Control and Decision Conference.Yinchuan,China:IEEE,2016.1890-1894
117 Ji H Q,He X,Shang J,Zhou D H.Incipient sensor fault diagnosis using moving window reconstruction-based contribution.Industrial and Engineering Chemistry Research,2016,55(10):2746-2759
118 Basseville M,Benveniste A,Moustakides G V,Rougee A.Optimal sensor location for detecting changes in dynamical behavior.IEEE Transactions on Automatic Control,1987,32(12):1067-1075
119 Daigle M,Roychoudhury I,Bregon A.Diagnosabilitybased sensor placement through structural model decomposition.In:Proceedings of the 2nd European Conference of the Prognostics and Health Management Society.Nantes,France,2014.33-46
120 Trav′e-Massuy′es L,Escobet T,Milne R.Model-based diagnosability and sensor placement application to a frame 6gas turbine subsystem.In:Proceedings of the 17th International Joint Conference on Artificial Intelligence.Seattle,WA,USA:Morgan Kaufmann Publishers Inc.,2001.551-556
121 Trav′e-Massuy′es L,Escobet T,Olive X.Diagnosability analysis based on component-supported analytical redundancy relations.IEEE Transactions on Systems,Man,and Cybernetics,Part A:Systems and Humans,2006,36(6):1146-1160
122 Debouk R,Lafortune S,Teneketzis D.On an optimization problem in sensor selection.Discrete Event Dynamic Systems,2002,12(4):417-445
123 Frisk E,Krysander M,?Aslund J.Sensor placement for fault isolation in linear differential-algebraic systems.Automatica,2009,45(2):364-371
124 Eriksson D,Krysander M,Frisk E.Using quantitative diagnosability analysis for optimal sensor placement.IFACProceedings Volumes,2012,45(20):940-945
125 Jung D,Eriksson L,Frisk E,Krysander M.Development of misfire detection algorithm using quantitative FDI performance analysis.Control Engineering Practice,2015,34:49-60
126 Nguyen D T,Duong Q B,Zamai E,Shahzad M K.Fault diagnosis for the complex manufacturing system.Proceedings of the Institution of Mechanical Engineers,Part O:Journal of Risk and Reliability,2016,230(2):178-194
127 Cui Y Q,Shi J Y,Wang Z L.System-level operational diagnosability analysis in quasi real-time fault diagnosis:the probabilistic approach.Journal of Process Control,2014,24(9):1444-1453
128 Kinnaert M,Hao J J.Distributed sensor fault detection and isolation over network.IFAC Proceedings Volumes,2014,47(3):11458-11463
129 Ding S X.Application of factorization and gap metric techniques to fault detection and isolation,Part I:a factorization technique based FDI framework.IFAC-PapersOnLine,2015,48(21):113-118
130 Ding S X.Application of factorization and gap metric techniques to fault detection and isolation,Part II:gap metric technique aided FDI performance analysis.IFAC-PapersOnLine,2015,48(21):119-124
131 Eriksson D,Sundstrom C.Sequential residual generator selection for fault detection.In:Proceedings of the 2014European Control Conference.Strasbourg,France:IEEE,2014.932-937
132 Bregon A,Daigle M,Roychoudhury I.An integrated framework for distributed diagnosis of process and sensor faults.In:Proceedings of the 2015 IEEE Aerospace Conference.Big Sky,MT,USA:IEEE,2015.1-11
133 Daigle M J,Bregon A,Koutsoukos X,Biswas G,Pulido B.A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition.Engineering Applications of Artificial Intelligence,2016,53:190-206
134 Daigle M,Bregon A,Biswas G,Koutsoukos X,Pulido B.Improving multiple fault diagnosability using possible conflicts.IFAC Proceedings Volumes,2012,45(20):144-149
135 Khorasgani H,Jung D,Biswas G.Structural approach for distributed fault detection and isolation.IFAC-PapersOnLine,2015,48(21):72-77
136 Basseville M.On fault detectability and isolability.European Journal of Control,2001,7(6):625-637
137 Jiang B,Chowdhury F N.Fault estimation and accommodation for linear MIMO discrete-time systems.IEEETransactions on Control Systems Technology,2005,13(3):493-499
138 Joshi S M,Gonz′alez O R,Upchurch J M.Identifiability of additive actuator and sensor faults by state augmentation.Journal of Guidance,Control,and Dynamics,2014,37(3):941-946
139 Upchurch J M,Gonz′alez O R,Joshi S M.Identifiability of Additive,Time-Varying Actuator and Sensor Faults by State Augmentation,Technical Report NASA/TM-2014-218669,L-20505,NF1676L-20305,NASA Langley Research Center,Hampton,VA,USA,2014.
140 Ding Y,Kim P,Ceglarek D,Jin J.Optimal sensor distribution for variation diagnosis in multistation assembly processes.IEEE Transactions on Robotics and Automation,2003,19(4):543-556
141 Wani M F,Gandhi O P.Diagnosability evaluation of systems using bipartite graph and matrix approach.AIEDAM-Artificial Intelligence for Engineering Design Analysis and Manufacturing,2000,14(3):193-206
142 Liu Z T,Ahmed Q,Zhang J Y,Rizzoni G,He H W.Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications.Control Engineering Practice,2016,52:46-58
143 de Kleer J,Williams B C.Diagnosing multiple faults.Artificial Intelligence,1987,32(1):97-130
144 Feldman A,van Gemund A.A two-step hierarchical algorithm for model-based diagnosis.In:Proceedings of the 2006 Actional Conference on Artificial Intelligence.Boston,USA:AAAI Press,2006.827-833
145 De Kleer J.Hitting set algorithms for model-based diagnosis.In:Proceedings of the 22nd International Workshop on Principles of Diagnosis.Murnau,Germany,2011.1-6
146 Console L,Picardi C,Ribaudo M.Diagnosis and diagnosability analysis using process algebras.In:Proceedings of the 14th European Conference on Artificial Intelligence.Berlin,Germany,2000.131-135
147 Dressler O,Struss P.A toolbox integrating model-based diagnosability analysis and automated generation of diagnostics.In:Proceedings of the 14th International Workshop on Principles of Diagnosis.USA,2003.99-104
148 Struss P,Rehfus B,Brignolo R,Cascio F,Console L,Dague P,et al.Model-based tools for the integration of design and diagnosis into a common process-a project report.In:Proceedings of the 13th International Workshop on Principles of Diagnosis.Semmering,Austria,2002.25-32
2 Teixeira A,Shames I,Sandberg H,Johansson K H.Asecure control framework for resource-limited adversaries.Automatica,2015,51:135-148
3 Keliris C,Polycarpou M M,Parisini T.An integrated learning and filtering approach for fault diagnosis of a class of nonlinear dynamical systems.IEEE Transactions on Neural Networks and Learning Systems,2017,28(4):988-1004
4 Gao Z W,Ding S X,Cecati C.Real-time fault diagnosis and fault-tolerant control.IEEE Transactions on Industrial Electronics,2015,62(6):3752-3756
5 Jiang B,Staroswiecki M,Cocquempot V.Fault accommodation for nonlinear dynamic systems.IEEE Transactions on Automatic Control,2006,51(9):1578-1583
6 Wang T Z,Qi J,Xu H,Wang Y D,Liu L,Gao D J.Fault diagnosis method based on FFT-RPCA-SVM for cascaded-multilevel inverter.ISA Transactions,2016,60:156-163
7 Tang B P,Song T,Li F,Deng L.Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine.Renewable Energy,2014,62:1-9
8 Yin S,Zhu X P.Intelligent particle filter and its application to fault detection of nonlinear system.IEEE Transactions on Industrial Electronics,2015,62(6):3852-3861
9 Sun F C,Liu H P,He K Z,Sun Z Q.Reduced-order H∞filtering for linear systems with Markovian jump parameters.Systems and Control Letters,2005,54(8):739-746
10 Hua Yong-Zhao,Li Qing-Dong,Ren Zhang,Liu ChengRui.Overview of fault diagnosability evaluation methods for continuous systems.Control and Decision,2016,31(12):2113-2121(化永朝,李清东,任章,刘成瑞.连续系统故障可诊断性评价方法综述.控制与决策,2016,31(12):2113-2121)
11 Liu Wen-Jing,Liu Cheng-Rui,Wang Nan-Hua.Overview of fault diagnosability evaluation and design.Aerospace Control,2011,29(6):72-78,87(刘文静,刘成瑞,王南华.故障可诊断性评价与设计研究进展.航天控制,2011,29(6):72-78,87)
12 IEEE Trial-Use Standard for Testability and Diagnosability Characteristics and Metrics,IEEE Standard 1522,2004.
13 Wang D W,Yu M,Low C B,Arogeti S.Modelbased Health Monitoring of Hybrid Systems.New York:Springer,2013.2-16
14 Gertler J.Fault Detection and Diagnosis in Engineering Systems.New York:Marcel Dekker,1998.1-22
15 Ding S X.Model-based Fault Diagnosis Techniques:Design Schemes,Algorithms and Tools.Berlin Heidelberg:Springer-Verlag,2008.51-68
16 Chi G Y,Wang D W,Zhu S Q.An integrated approach for sensor placement in linear dynamic systems.Journal of the Franklin Institute,2015,352(3):1056-1079
17 Eriksson D,Frisk E,Krysander M.A method for quantitative fault diagnosability analysis of stochastic linear descriptor models.Automatica,2013,49(6):1591-1600
18 Scott J K,Findeisen R,Braatz R D,Raimondo D M.Design of active inputs for set-based fault diagnosis.In:Proceedings of the 2013 American Control Conference.Washington,DC,USA:IEEE,2013.3561-3566
19 Du?stegor D,Frisk E,Cocquempot V,Krysander M,Staroswiecki M.Structural analysis of fault isolability in the DAMADICS benchmark.Control Engineering Practice,2006,14(6):597-608
20 Krysander M,Frisk E.Sensor placement for fault diagnosis.IEEE Transactions on Systems,Man,and Cybernetics,Part A:Systems and Humans,2008,38(6):1398-1410
21 Leal R,Aguilar J,Trav′e-Massuy′es L,Camargo E,R′?os A.An approach for diagnosability analysis and sensor placement for continuous processes based on evolutionary algorithms and analytical redundancy.Applied Mathematical Sciences,2015,9(43):2125-2146
22 Sun F C,Li L,Li H X,Liu H P.Neuro-fuzzy dynamicinversion-based adaptive control for robotic manipulators-discrete time case.IEEE Transactions on Industrial Electronics,2007,54(3):1342-1351
23 Sun F C,Li H X,Lei L.Robot discrete adaptive control based on dynamic inversion using dynamical neural networks.Automatica,2002,38(11):1977-1983
24 Zheng W H,Jia Y M.Leader-follower formation control of mobile robots with sliding mode.Journal of Robotics,Networking and Artificial Life,2017,4(1):10-13
25 Gertler J J.Survey of model-based failure detection and isolation in complex plants.IEEE Control Systems Magazine,1988,8(6):3-11
26 Kouadri A,Bensmail A,Kheldoun A,Refoufi L.An adaptive threshold estimation scheme for abrupt changes detection algorithm in a cement rotary kiln.Journal of Computational and Applied Mathematics,2014,259:835-842
27 Fu Fang-Zhou,Wang Da-Yi,Li Wen-Bo.Multiple fault detection and isolation based on Kalman filters.Control Theory and Applications,2017,34(5):586-593(符方舟,王大轶,李文博.基于卡尔曼滤波器组的多重故障诊断方法研究.控制理论与应用,2017,34(5):586-593)
28 Niu G,Zhao Y J,Tran V T.Fault detection and isolation based on bond graph modeling and empirical residual evaluation.Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2015,229(3):417-428
29 Chilin D,Liu J F,Chen X Z,Christofides P D.Fault detection and isolation and fault tolerant control of a catalytic alkylation of benzene process.Chemical Engineering Science,2012,78:155-166
30 Fu Fang-Zhou,Wang Da-Yi,Li Wen-Bo.Sensor fault detection based on hierarchical stochastic gradient identification algorithm.Aerospace Control and Application,2016,42(4):12-17(符方舟,王大轶,李文博.基于分层随机梯度辨识算法的传感器故障检测方法.空间控制技术与应用,2016,42(4):12-17)
31 National Standard.GJB 451A-2005 Reliability,Maintainability and Supportability Terms,2005.(国家标准.GJB 451A-2005可靠性维修性保障性术语,2005.)
32 Frank P M.Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy:a survey and some new results.Automatica,1990,26(3):459-474
33 Venkatasubramanian V,Rengaswamy R,Yin K,Kavuri SN.A review of process fault detection and diagnosis,Part I:quantitative model-based methods.Computers and Chemical Engineering,2003,27(3):293-311
34 Venkatasubramanian V,Rengaswamy R,Kavuri S N.Areview of process fault detection and diagnosis,Part II:qualitative models and search strategies.Computers and Chemical Engineering,2003,27(3):313-326
35 Venkatasubramanian V,Rengaswamy R,Kavuri S N,Yin K.A review of process fault detection and diagnosis,Part III:process history based methods.Computers and Chemical Engineering,2003,27(3):327-346
36 Li Juan,Zhou Dong-Hua,Si Xiao-Sheng,Chen Mao-Yin,Xu Chun-Hong.Review of incipient fault diagnosis methods.Control Theory and Applications,2012,29(12):1517-1529(李娟,周东华,司小胜,陈茂银,徐春红.微小故障诊断方法综述.控制理论与应用,2012,29(12):1517-1529)
37 Zhou Dong-Hua,Shi Jian-Tao,He Xiao.Review of intermittent fault diagnosis techniques for dynamic systems.Acta Automatica Sinica,2014,40(2):161-171(周东华,史建涛,何潇.动态系统间歇故障诊断技术综述.自动化学报,2014,40(2):161-171)
38 Zhang B,Jia Y M,Matsuno F,Endo T.Task-space synchronization of networked mechanical systems with uncertain parameters and communication delays.IEEE Transactions on Cybernetics,2017,47(8):2288-2298
39 Apkarian P,Gahinet P.A convex characterization of gainscheduled H∞controllers.IEEE Transactions on Automatic Control,1995,40(5):853-864
40 Park S,Park Y,Park Y S.Degree of fault isolability and active fault diagnosis for redundantly actuated vehicle system.International Journal of Automotive Technology,2016,17(6):1045-1053
41 Du Y C,Duever T A,Budman H.Fault detection and diagnosis with parametric uncertainty using generalized polynomial chaos.Computers and Chemical Engineering,2015,76:63-75
42 Hou L Q,Bergmann N W.Novel industrial wireless sensor networks for machine condition monitoring and fault diagnosis.IEEE Transactions on Instrumentation and Measurement,2012,61(10):2787-2798
43 Liu W J,Teng B Y.Application of weighted evidence theory in the space-earth fault diagnosis result fusion of spacecraft.In:Proceedings of the 12th World Congress on Intelligent Control and Automation.Guilin,China:IEEE,2016.1742-1748
44 Kelkar S,Kamal R.Adaptive fault diagnosis algorithm for controller area network.IEEE Transactions on Industrial Electronics,2014,61(10):5527-5537
45 Liu Wen-Jing,Wang Nan-Hua.FD for spacecraft control system with resource constraint.Journal of Astronautics,2011,32(7):1527-1533(刘文静,王南华.面向资源约束航天器控制系统的故障检测研究.宇航学报,2011,32(7):1527-1533)
46 Jia Y M.General solution to diagonal model matching control of multiple-output-delay systems and its applications in adaptive scheme.Progress in Natural Science,2009,19(1):79-90
47 Yang F W,Li Y M.Set-membership filtering for systems with sensor saturation.Automatica,2009,45(8):1896-1902
48 Wang H,Huang Z J,Daley S.On the use of adaptive updating rules for actuator and sensor fault diagnosis.Automatica,1997,33(2):217-225
49 Ding S X,Zhong M Y,Tang B Y,Zhang P.An LMI approach to the design of fault detection filter for time-delay LTI systems with unknown inputs.In:Proceedings of the2001 American Control Conference.Arlington,VA,USA:IEEE,2001.2137-2142
50 Shen Q K,Jiang B,Shi P.Active fault-tolerant control against actuator fault and performance analysis of the effect of time delay due to fault diagnosis.International Journal of Control Automation and Systems,2017,15(2):537-546
51 Russell E L,Chiang L H,Braatz R D.Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis.Chemometrics and Intelligent Laboratory Systems,2000,51(1):81-93
52 Han L,Li C W,Guo S L,Su X W.Feature extraction method of bearing AE signal based on improved FAST-ICA and wavelet packet energy.Mechanical Systems and Signal Processing,2015,62-63:91-99
53 Sun J W,Xi L F,Pan E S,Du S C,Xia T B.Design for diagnosability of multistation manufacturing systems based on sensor allocation optimization.Computers in Industry,2009,60(7):501-509
54 Wang X Q,Zhao Y,Wang D,Zhu H J,Zhang Q.Improved multi-objective ant colony optimization algorithm and its application in complex reasoning.Chinese Journal of Mechanical Engineering,2013,26(5):1031-1040
55 Lee J M,Qin S J,Lee I B.Fault detection and diagnosis based on modified independent component analysis.AIChE Journal,2006,52(10):3501-3514
56 Ye H,Wang G,Ding S X.A new parity space approach for fault detection based on stationary wavelet transform.IEEE Transactions on Automatic Control,2004,49(2):281-287
57 Kaufman M,Sheppard J.P1522:a formal standard for testability and diagnosability measures.In:Proceedings of the 1999 IEEE Systems Readiness Technology Conference.San Antonio,Texas,USA:IEEE,1999.411-418
58 Provan G.System diagnosability analysis using modelbased diagnosis tools.In:Proceedings of the 2001Aerospace/Def-ense Sensing,Simulation,and Controls.Orlando,FL,USA:SPIE,2001.93-101
59 Pattipati K R,Raghavan V,Shakeri M,Deb S,Shrestha R.TEAMS:testability engineering and maintenance system.In:Proceedings of the 1994 American Control Conference.Baltimore,Maryland,USA:IEEE,1994.1989-1995
60 Wey C L.Design of testability for analogue fault diagnosis.International Journal of Circuit Theory and Applications,1987,15(2):123-142
61 Simpson W R,Sheppard J W.System Test and Diagnosis.US:Springer,1994.139-190
62 Li K S M,Chang Y W,Lee C L,Su C,Chen J E.Multilevel full-chip routing with testability and yield enhancement.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2007,26(9):1625-1636
63 Ungar L Y.Economic evaluation of testability and diagnosability for commercial off the shelf equipment.In:Proceedings of the 2010 AUTOTESTCON.Orlando,USA:IEEE,2010.1-5
64 Le Traon Y,Ouabdesselam F,Robach C,Baudry B.From diagnosis to diagnosability:axiomatization,measurement and application.Journal of Systems and Software,2003,65(1):31-50
65 National Standard.GJB 3385-98 Terms for Testing and Diagnostics,1998.(国家标准.GJB 3385-98测试与诊断术语,1998.)
66 Sheppard J W,Kaufman M.Formal specification of testability metrics in IEEE P1522.In:Proceedings of the2001 IEEE Systems Readiness Technology Conference,AUTOTESTCON.Valley Forge,PA,USA:IEEE,2001.71-82
67 Magni J F,Mouyon P.On residual generation by observer and parity space approaches.IEEE Transactions on Automatic Control,1994,39(2):441-447
68 Diop S,Mart′?nez-Guerra R.On an algebraic and differential approach of nonlinear systems diagnosis.In:Proceedings of the 40th IEEE Conference on Decision and Control.Orlando,Florida,USA:IEEE,2001.585-589
69 Huber J,Kopecek H,Hofbaur M.Sensor selection for fault parameter identification applied to an internal combustion engine.In:Proceedings of the 2014 IEEE Conference on Control Applications.Juan Les Antibes,France:IEEE,2014.89-96
70 Wu N E,Zhou K M,Salomon G.Control reconfigurability of linear time-invariant systems.Automatica,2000,36(11):1767-1771
71 Wang Da-Yi,Tu Yuan-Yuan,Liu Cheng-Rui,He Ying-Zi,Li Wen-Bo.Connotation and research of reconfigurability for spacecraft control systems:a review.Acta Automatica Sinica,2017,43(10):1687-1702(王大轶,屠园园,刘成瑞,何英姿,李文博.航天器控制系统可重构性的内涵与研究综述.自动化学报,2017,43(10):1687-1702)
72 Svard C,Nyberg M,Frisk E.Realizability constrained selection of residual generators for fault diagnosis with an automotive engine application.IEEE Transactions on Systems,Man,and Cybernetics:Systems,2013,43(6):1354-1369
73 Cocquempot V,Izadi-Zamanabadi R,Staroswiecki M,Blanke M.Residual generation for the ship benchmark using structural approach.In:Proceedings of the 1998UKACC International Conference on Control.Swansea,UK:IET,1998.1480-1485
74 Izadi-Zamanabadi R.Structural analysis approach to fault diagnosis with application to fixed-wing aircraft motion.In:Proceedings of the 2002 American Control Conference.Anchorage,USA:IEEE,2002.3949-3954
75 Bozzano M,Cimatti A,Katoen J P,Nguyen V Y,Noll T,Roveri M.The COMPASS approach:correctness,modelling and performability of aerospace systems.In:Proceedings of the 28th International Conference on Computer Safety,Reliability,and Security.Heidelberg,Berlin,Germany:Springer-Verlag,2009.173-186
76 Roychoudhury I,Biswas G,Koutsoukos X.Designing distributed diagnosers for complex continuous systems.IEEETransactions on Automation Science and Engineering,2009,6(2):277-290
77 Svard C,Nyberg M.Automated design of an FDI system for the wind turbine benchmark.Journal of Control Science and Engineering,2012,2012:Article ID 989873
78 Eriksson D,Krysander M,Frisk E.Quantitative fault diagnosability performance of linear dynamic descriptor models.In:Proceedings of the 22nd International Workshop on Principles of Diagnosis.Murnau,Germany,2011.1-8
79 Hao J J,Kinnaert M.Sensor fault detection and isolation over wireless sensor network based on hardware redundancy.Journal of Physics:Conference Series,2017,783(1):012006
80 Chen J L,Sun H L,Wang S,He Z J.Quantitative index and abnormal alarm strategy using sensor-dependent vibration data for blade crack identification in centrifugal booster fans.Sensors,2016,16(5):632
81 Sharifi R,Langari R.Sensor fault diagnosis with a probabilistic decision process.Mechanical Systems and Signal Processing,2013,34(1-2):146-155
82 Varga A.Solving Fault Diagnosis Problems.New York:Springer,2017.9-25
83 Patton R J,Chen J.Observer-based fault detection and isolation:robustness and applications.Control Engineering Practice,1997,5(5):671-682
84 Del Gobbo D,Napolitano M R.Issues in fault detectability for dynamic systems.In:Proceedings of the 2000 American Control Conference.Chicago,Illinois,USA:IEEE,2000.3203-3207
85 Varga A.Design of fault detection filters for periodic systems.In:Proceedings of the 40th IEEE Conference on Decision and Control.Nassau,Bahamas:IEEE,2004.4800-4805
86 Koscielny J M,Syfert M,Rostek K,Sztyber A.Fault isolability with different forms of the faults-symptoms relation.International Journal of Applied Mathematics and Computer Science,2016,26(4):815-826
87 Nyberg M.Criterions for detectability and strong detectability of faults in linear systems.International Journal of Control,2002,75(7):490-501
88 Heintz F,Krysander M,Roll J,Frisk E.FlexDx:a reconfigurable diagnosis framework.In:Proceedings of the19th International Workshop on Principles of Diagnosis DX.Blue Mountains,Australia,2008.79-86
89 Nyberg M,Frisk E.Residual generation for fault diagnosis of systems described by linear differential-algebraic equations.IEEE Transactions on Automatic Control,2006,51(12):1995-2000
90 Liu B,Si J.Fault isolation filter design for linear timeinvariant systems.IEEE Transactions on Automatic Control,1997,42(5):704-707
91 Ding Y,Shi J J,Ceglarek D.Diagnosability analysis of multi-station manufacturing processes.Journal of Dynamic Systems,Measurement,and Control,2001,124(1):1-13
92 Li Wen-Bo,Wang Da-Yi,Liu Cheng-Rui.Quantitative fault diagnosis ability evaluation for control systems with disturbances.Control Theory and Applications,2015,32(6):744-752(李文博,王大轶,刘成瑞.有干扰的控制系统故障可诊断性量化评估.控制理论与应用,2015,32(6):744-752)
93 Fu Fang-Zhou,Wang Da-Yi,Li Wen-Bo.Quantitative evaluation of actual LOE fault diagnosability for dynamic systems.Acta Automatica Sinica,2017,43(11):1941-1949(符方舟,王大轶,李文博.复杂动态系统的实际非完全失效故障的可诊断性评估.自动化学报,2017,43(11):1941-1949)
94 Li Wen-Bo,Wang Da-Yi,Liu Cheng-Rui.Quantitative evaluation of actual fault diagnosability for dynamic systems.Acta Automatica Sinica,2015,41(3):497-507(李文博,王大轶,刘成瑞.动态系统实际故障可诊断性的量化评价研究.自动化学报,2015,41(3):497-507)
95 Huang Lin,Geng Zhi-Yong,Wang Jin-Zhi,Duan ZhiSheng,Yang Ying.Problems in control and intrinsic nonlinearities.Acta Automatica Sinica,2007,33(10):1009-1013(黄琳,耿志勇,王金枝,段志生,杨莹.控制与本质非线性问题.自动化学报,2007,33(10):1009-1013)
96 Frisk E,Aslund J.Lowering orders of derivatives in nonlinear residual generation using realization theory.Automatica,2005,41(10):1799-1807
97 Zhang X D,Parisini T,Polycarpou M M.Sensor bias fault isolation in a class of nonlinear systems.IEEE Transactions on Automatic Control,2005,50(3):370-376
98 Zhang X D.Sensor bias fault detection and isolation in a class of nonlinear uncertain systems using adaptive estimation.IEEE Transactions on Automatic Control,2011,56(5):1220-1226
99 Ferrari R M G,Parisini T,Polycarpou M M.Distributed fault detection and isolation of large-scale discrete-time nonlinear systems:an adaptive approximation approach.IEEE Transactions on Automatic Control,2012,57(2):275-290
100 Peng X F,Lin L X,Zhong X Y,Liu C R.Methods for fault diagnosability analysis of a class of affine nonlinear systems.Mathematical Problems in Engineering,2015,2015:Article ID 409184
101 Xing Z R,Xia Y Q.Evaluation and design of actuator fault diagnosability for nonlinear affine uncertain systems with unknown indeterminate inputs.International Journal of Adaptive Control and Signal Processing,2017,31(1):122-137
102 Li Wen-Bo,Wang Da-Yi,Liu Cheng-Rui.An approach to fault diagnosability quantitative evaluation for a class of nonlinear systems.Journal of Astronautics,2015,36(4):455-462(李文博,王大轶,刘成瑞.一类非线性系统的故障可诊断性量化评价方法.宇航学报,2015,36(4):455-462)
103 Jiang Dong-Nian,Li Wei,Wang Jun.Fault diagnosability quantitative evaluation and method of fault diagnosis for nonlinear system.Journal of Huazhong University of Science and Technology:Natural Science Edition,2016,44(12):102-108(蒋栋年,李炜,王君.非线性系统故障可诊断性量化评价及诊断方法.华中科技大学学报:自然科学版,2016,44(12):102-108)
104 Cabasino M P,Giua A,Seatzu C.Diagnosability of discrete-event systems using labeled Petri nets.IEEETransactions on Automation Science and Engineering,2014,11(1):144-153
105 Haar S,Benveniste A,Fabre E,Jard C.Partial order diagnosability of discrete event systems using petri net unfoldings.In:Proceedings of the 42nd IEEE Conference on Decision and Control.Maui,HI,USA:IEEE,2003.3748-3753
106 Koscielny J M,Barty′s M,Rzepiejewski P,S′ada Costa J.Actuator fault distinguishability study for the DAMADICS benchmark problem.Control Engineering Practice,2006,14(6):645-652
107 Liu J,Hua Y Z,Li Q D,Ren Z.Fault diagnosability qualitative analysis of spacecraft based on temporal fault signature matrix.In:Proceedings of the 2016 IEEE Chinese Guidance,Navigation and Control Conference.Nanjing,China:IEEE,2017.1496-1500
108 Mekki T,Triki S,Kamoun A.A qualitative approach to single fault isolation in switching systems.In:Proceedings of the 14th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering.Sousse,Tunisia:IEEE,2013.220-224
109 Chittaro L,Ranon R.Hierarchical model-based diagnosis based on structural abstraction.Artificial Intelligence,2004,155(1-2):147-182
110 Genesereth M R.The use of design descriptions in automated diagnosis.Artificial Intelligence,1984,24(1-3):411-436
111 Pucel X,Mayer W,Stumptner M.Diagnosability analysis without fault models.In:Proceedings of the 20th International Workshop on Principles of Diagnosis.Stockholm,Sweden,2009.67-74
112 Li Han,Xiao De-Yun.Survey on data driven fault diagnosis methods.Control and Decision,2011,26(1):1-9(李晗,萧德云.基于数据驱动的故障诊断方法综述.控制与决策,2011,26(1):1-9)
113 Dunia R,Joe Qin S.Subspace approach to multidimensional fault identification and reconstruction.AIChE Journal,1998,44(8):1813-1831
114 Yue H H,Qin S J.Reconstruction-based fault identification using a combined index.Industrial and Engineering Chemistry Research,2001,40(20):4403-4414
115 Charbonnier S,Bouchair N,Gayet P.Fault template extraction to assist operators during industrial alarm floods.Engineering Applications of Artificial Intelligence,2016,50:32-44
116 Hua Y Z,Li Q D,Ren Z,Liu C R.A data driven method for quantitative fault diagnosability evaluation.In:Proceedings of the 2016 Chinese Control and Decision Conference.Yinchuan,China:IEEE,2016.1890-1894
117 Ji H Q,He X,Shang J,Zhou D H.Incipient sensor fault diagnosis using moving window reconstruction-based contribution.Industrial and Engineering Chemistry Research,2016,55(10):2746-2759
118 Basseville M,Benveniste A,Moustakides G V,Rougee A.Optimal sensor location for detecting changes in dynamical behavior.IEEE Transactions on Automatic Control,1987,32(12):1067-1075
119 Daigle M,Roychoudhury I,Bregon A.Diagnosabilitybased sensor placement through structural model decomposition.In:Proceedings of the 2nd European Conference of the Prognostics and Health Management Society.Nantes,France,2014.33-46
120 Trav′e-Massuy′es L,Escobet T,Milne R.Model-based diagnosability and sensor placement application to a frame 6gas turbine subsystem.In:Proceedings of the 17th International Joint Conference on Artificial Intelligence.Seattle,WA,USA:Morgan Kaufmann Publishers Inc.,2001.551-556
121 Trav′e-Massuy′es L,Escobet T,Olive X.Diagnosability analysis based on component-supported analytical redundancy relations.IEEE Transactions on Systems,Man,and Cybernetics,Part A:Systems and Humans,2006,36(6):1146-1160
122 Debouk R,Lafortune S,Teneketzis D.On an optimization problem in sensor selection.Discrete Event Dynamic Systems,2002,12(4):417-445
123 Frisk E,Krysander M,?Aslund J.Sensor placement for fault isolation in linear differential-algebraic systems.Automatica,2009,45(2):364-371
124 Eriksson D,Krysander M,Frisk E.Using quantitative diagnosability analysis for optimal sensor placement.IFACProceedings Volumes,2012,45(20):940-945
125 Jung D,Eriksson L,Frisk E,Krysander M.Development of misfire detection algorithm using quantitative FDI performance analysis.Control Engineering Practice,2015,34:49-60
126 Nguyen D T,Duong Q B,Zamai E,Shahzad M K.Fault diagnosis for the complex manufacturing system.Proceedings of the Institution of Mechanical Engineers,Part O:Journal of Risk and Reliability,2016,230(2):178-194
127 Cui Y Q,Shi J Y,Wang Z L.System-level operational diagnosability analysis in quasi real-time fault diagnosis:the probabilistic approach.Journal of Process Control,2014,24(9):1444-1453
128 Kinnaert M,Hao J J.Distributed sensor fault detection and isolation over network.IFAC Proceedings Volumes,2014,47(3):11458-11463
129 Ding S X.Application of factorization and gap metric techniques to fault detection and isolation,Part I:a factorization technique based FDI framework.IFAC-PapersOnLine,2015,48(21):113-118
130 Ding S X.Application of factorization and gap metric techniques to fault detection and isolation,Part II:gap metric technique aided FDI performance analysis.IFAC-PapersOnLine,2015,48(21):119-124
131 Eriksson D,Sundstrom C.Sequential residual generator selection for fault detection.In:Proceedings of the 2014European Control Conference.Strasbourg,France:IEEE,2014.932-937
132 Bregon A,Daigle M,Roychoudhury I.An integrated framework for distributed diagnosis of process and sensor faults.In:Proceedings of the 2015 IEEE Aerospace Conference.Big Sky,MT,USA:IEEE,2015.1-11
133 Daigle M J,Bregon A,Koutsoukos X,Biswas G,Pulido B.A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition.Engineering Applications of Artificial Intelligence,2016,53:190-206
134 Daigle M,Bregon A,Biswas G,Koutsoukos X,Pulido B.Improving multiple fault diagnosability using possible conflicts.IFAC Proceedings Volumes,2012,45(20):144-149
135 Khorasgani H,Jung D,Biswas G.Structural approach for distributed fault detection and isolation.IFAC-PapersOnLine,2015,48(21):72-77
136 Basseville M.On fault detectability and isolability.European Journal of Control,2001,7(6):625-637
137 Jiang B,Chowdhury F N.Fault estimation and accommodation for linear MIMO discrete-time systems.IEEETransactions on Control Systems Technology,2005,13(3):493-499
138 Joshi S M,Gonz′alez O R,Upchurch J M.Identifiability of additive actuator and sensor faults by state augmentation.Journal of Guidance,Control,and Dynamics,2014,37(3):941-946
139 Upchurch J M,Gonz′alez O R,Joshi S M.Identifiability of Additive,Time-Varying Actuator and Sensor Faults by State Augmentation,Technical Report NASA/TM-2014-218669,L-20505,NF1676L-20305,NASA Langley Research Center,Hampton,VA,USA,2014.
140 Ding Y,Kim P,Ceglarek D,Jin J.Optimal sensor distribution for variation diagnosis in multistation assembly processes.IEEE Transactions on Robotics and Automation,2003,19(4):543-556
141 Wani M F,Gandhi O P.Diagnosability evaluation of systems using bipartite graph and matrix approach.AIEDAM-Artificial Intelligence for Engineering Design Analysis and Manufacturing,2000,14(3):193-206
142 Liu Z T,Ahmed Q,Zhang J Y,Rizzoni G,He H W.Structural analysis based sensors fault detection and isolation of cylindrical lithium-ion batteries in automotive applications.Control Engineering Practice,2016,52:46-58
143 de Kleer J,Williams B C.Diagnosing multiple faults.Artificial Intelligence,1987,32(1):97-130
144 Feldman A,van Gemund A.A two-step hierarchical algorithm for model-based diagnosis.In:Proceedings of the 2006 Actional Conference on Artificial Intelligence.Boston,USA:AAAI Press,2006.827-833
145 De Kleer J.Hitting set algorithms for model-based diagnosis.In:Proceedings of the 22nd International Workshop on Principles of Diagnosis.Murnau,Germany,2011.1-6
146 Console L,Picardi C,Ribaudo M.Diagnosis and diagnosability analysis using process algebras.In:Proceedings of the 14th European Conference on Artificial Intelligence.Berlin,Germany,2000.131-135
147 Dressler O,Struss P.A toolbox integrating model-based diagnosability analysis and automated generation of diagnostics.In:Proceedings of the 14th International Workshop on Principles of Diagnosis.USA,2003.99-104
148 Struss P,Rehfus B,Brignolo R,Cascio F,Console L,Dague P,et al.Model-based tools for the integration of design and diagnosis into a common process-a project report.In:Proceedings of the 13th International Workshop on Principles of Diagnosis.Semmering,Austria,2002.25-32