输油管道泄漏检测新方法与关键技术研究
|
摘要
管道泄漏检测技术是保障管道安全生产的重要手段。近些年来,管道安全生产中提出了提高定位精度、检测小泄漏信号和降低误报警率等新的要求。基于瞬变流的实时模型法是近年来国际上着力研究的一种管道泄漏检测方法,因为在瞬变条件下即使发生微小的泄漏,在管道泄漏发生前后的压力波形都会存在一定的差别,与其他方法比较,这一方法可以更好地确定泄漏发生的位置。在长输管道泄漏检测领域,由于负压波法不需要建立复杂的数学模型,具有施工量小、成本低、维护方便等优点,得到了广泛的应用。我国已经在超过1万公里的原油管道上安装了基于负压波法的管道泄漏监测系统,对管道的安全运行作用显著。但负压波法在减少误报警率和提高定位精度方面还存在不足。
本文针对现有输油管道泄漏检测技术存在的问题,在课题组前期研究基础上,提出了一种附加动态微压激励检测管道泄漏的新方法,并深入研究了输油管道泄漏检测中的若干关键技术。
本文主要进行了以下几方面的研究工作:
1、提出了一种附加动态微压激励检测管道泄漏的新方法,特别适合于小泄漏的检测,仿真结果表明其最小可检测量达到总流量的0.1%。
2、采用了一种高灵敏度的动态压力变送器,捕捉泄漏引起的压力瞬变信号,通过现场实验对变送器的性能进行了验证。
3、提出将基于小波包熵的检测信号特征提取方法、基于混沌特性的检测信号特征提取方法用于对管道动态压力信号的特征提取。
4、针对负压波法的泄漏检测,将基于高阶统计分析的信号处理方法和基于Unscented卡尔曼滤波器(Unscented Kalman Filter,UKF)的信号处理方法用于管道泄漏信号处理,提高了泄漏定位的精度。
5、研究了管道泄漏监测系统与SCADA系统结合的若干技术问题,设计了一套基于SCADA系统的管道泄漏监测系统。通过现场实验和实际应用,验证了系统的可靠性和准确性。
Pipeline leak detection technologies have been playing an important role in protecting the safety of pipeline transportation. In recent years, new requirements are proposed in the pipeline transportation field, such as improving location precision, detecting small leaks and reducing false alarm rate. On the one hand, the real-time model method based on transient flow is the focus of international research on pipeline leak detection methods in recent years, because even small leaks will produce a change of the pressure waveform in a pipeline transient event. Compared with other methods, the method mentioned above could get a better result of leak location. On the other hand, the negative pressure wave (NPW) method which does not require a complicated mathematical model, with the advantages of small construction quantity, low cost and convenient maintenance, has been widely used in the field of leak detection of long-distance pipelines. At present the length of crude oil pipelines installed with leak detection system based on the NPW method has already surpassed 10,000 km in China, which has played a significant role in the pipeline running safety. However, the NPW method has some shortcomings in reducing false alarm rate and improving location precison.
Aiming at solving the problems existed in present leak detection technologies of crude oil pipelines, a new pipeline leak detection method based on an additional dynamic micro-pressure excitation is put forward, and a number of key technologies of leak detection for crude oil pipelines are studied thoroughly. The dissertation mainly covers the following aspects:
1. A new pipeline leak detection method based on an additional dynamic micro-pressure excitation is proposed, particularly suitable for the detection of small leaks, which can detect the smallest amount of 0.1% of total flow.
2. A high sensitive dynamic pressure transmitter is used to capture the transient signal caused by a leak, of which the performance is verified through field experiments.
3. The signal feature extraction methods based on wavelet package entropy and the signal feature extraction method based on chaotic characteristics are applied to extracting the feature of the dynamic pressure signal along the pipelines.
4. Aiming at the leak detection based on the NPW method, the signal processing method based on high-order statistic analysis and the signal processing method based on unscented kalman filter (UKF) are used to improve the location precison.
5. A number of key technologies on combination of pipeline leak detection system with SCADA (Supervisory Control and Data Acquisition) system are investigated, and a leak detection system based on SCADA is designed, of which the reliability and accuracy are validated through field experiments and practical applications.
本文针对现有输油管道泄漏检测技术存在的问题,在课题组前期研究基础上,提出了一种附加动态微压激励检测管道泄漏的新方法,并深入研究了输油管道泄漏检测中的若干关键技术。
本文主要进行了以下几方面的研究工作:
1、提出了一种附加动态微压激励检测管道泄漏的新方法,特别适合于小泄漏的检测,仿真结果表明其最小可检测量达到总流量的0.1%。
2、采用了一种高灵敏度的动态压力变送器,捕捉泄漏引起的压力瞬变信号,通过现场实验对变送器的性能进行了验证。
3、提出将基于小波包熵的检测信号特征提取方法、基于混沌特性的检测信号特征提取方法用于对管道动态压力信号的特征提取。
4、针对负压波法的泄漏检测,将基于高阶统计分析的信号处理方法和基于Unscented卡尔曼滤波器(Unscented Kalman Filter,UKF)的信号处理方法用于管道泄漏信号处理,提高了泄漏定位的精度。
5、研究了管道泄漏监测系统与SCADA系统结合的若干技术问题,设计了一套基于SCADA系统的管道泄漏监测系统。通过现场实验和实际应用,验证了系统的可靠性和准确性。
Pipeline leak detection technologies have been playing an important role in protecting the safety of pipeline transportation. In recent years, new requirements are proposed in the pipeline transportation field, such as improving location precision, detecting small leaks and reducing false alarm rate. On the one hand, the real-time model method based on transient flow is the focus of international research on pipeline leak detection methods in recent years, because even small leaks will produce a change of the pressure waveform in a pipeline transient event. Compared with other methods, the method mentioned above could get a better result of leak location. On the other hand, the negative pressure wave (NPW) method which does not require a complicated mathematical model, with the advantages of small construction quantity, low cost and convenient maintenance, has been widely used in the field of leak detection of long-distance pipelines. At present the length of crude oil pipelines installed with leak detection system based on the NPW method has already surpassed 10,000 km in China, which has played a significant role in the pipeline running safety. However, the NPW method has some shortcomings in reducing false alarm rate and improving location precison.
Aiming at solving the problems existed in present leak detection technologies of crude oil pipelines, a new pipeline leak detection method based on an additional dynamic micro-pressure excitation is put forward, and a number of key technologies of leak detection for crude oil pipelines are studied thoroughly. The dissertation mainly covers the following aspects:
1. A new pipeline leak detection method based on an additional dynamic micro-pressure excitation is proposed, particularly suitable for the detection of small leaks, which can detect the smallest amount of 0.1% of total flow.
2. A high sensitive dynamic pressure transmitter is used to capture the transient signal caused by a leak, of which the performance is verified through field experiments.
3. The signal feature extraction methods based on wavelet package entropy and the signal feature extraction method based on chaotic characteristics are applied to extracting the feature of the dynamic pressure signal along the pipelines.
4. Aiming at the leak detection based on the NPW method, the signal processing method based on high-order statistic analysis and the signal processing method based on unscented kalman filter (UKF) are used to improve the location precison.
5. A number of key technologies on combination of pipeline leak detection system with SCADA (Supervisory Control and Data Acquisition) system are investigated, and a leak detection system based on SCADA is designed, of which the reliability and accuracy are validated through field experiments and practical applications.
引文
[1]张树奎,金永兴,大力发展管道运输提高持续发展能力,南通航运职业技术学院学报,2005,4(3):66~68
[2]中国管道运输面面观,中国水运,2007年第3期
[3]杨筱蘅,输油管道设计与管理,山东:中国石油大学出版社,2006
[4]梁翕章,管道建设基本规律,油气储运,2003,22(12):1~9
[5]王疆戈,世界油气管道现状,中国石化,2004(7):18~19
[6]张晋林,21世纪油气管道-未来的投资热点,北京节能,2000(1):28~29
[7]余洋,2007年中国油气管道发展综述,国际石油经济,2008(3):45~51
[8]吴元亚,从油气储运发展看“管道经济”的形成,石油天然气学报,2007,29(3):489~491
[9]宋艾玲,梁光川,王文耀,世界油气管道现状与发展趋势,2006,25(10):1~6
[10]李影,李国义,马文鑫,我国油气管道建设现状及发展趋势,中国西部科技,2009,8(14):6~8
[11]李世荣,宋艾玲,张树军,我国油气管道现状与发展趋势,油气田地面工程,2006,25(6):7~8
[12]王功礼,王莉,油气管道技术现状与发展趋势,石油规划设计,2004,15(4):1~7
[13]冯耀荣,陈浩,张劲军等,中国石油油气管道技术发展展望,油气储运,2008,27(3):1~8
[14]余洋,中国油气管道发展现状及前景展望,国际石油经济,2007(3):27~33
[15]蒲明,中国油气管道发展现状及展望,国际石油经济,2009(3):40~47
[16]潘家华,关于老龄管道的安全运行,油气储运,2008,27(5):1~3
[17]钱成文,侯铜瑞,刘广文等,管道的完整性评价技术,油气储运,2000,19(7):11~15
[18]维护国民经济安全运行的重要问题-全国政协委员王基铭、袁晴棠联名提出根治打孔盗油办法,中国石化,2003年第4期
[19]吴明,孙万富,周诗岽,油气储运自动化,北京:化学工业出版社,2006
[20]邓庆涛,张霆,长输管道泄漏的检测方法,中国西部科技,2009,8(12):23~25, 39
[21]唐恂,张琳,苏欣等,长输管道泄漏检测技术发展现状,2007,26(7):11~14, 29
[22]李炜,朱芸,长输管线泄漏检测与定位方法分析,天然气工业,2005,25(6):105~109
[23]王晓宇,王树立,管道泄漏检测及定位技术的研究现状与发展方向,江苏工业学院学报,2008,20(3):74~78
[24]肖智光,吴嗣跃,薛小红,管道泄漏检测技术应用分析,管道技术与设备,2009(2):23~26
[25]付道明,孙军,贺志刚等,国内外管道泄漏检测技术研究进展,石油机械,2004,32(3):48~51
[26]王雪亮,苏欣,杨伟,油气管道泄漏检测技术综述,天然气与石油,2007,25(3):19~23
[27]王效东,黄坤,朱小华等,油气管道泄漏检测技术发展现状,管道技术与设备,2008(1):24~26
[28]杨杰,王桂增,输气管道泄漏诊断技术综述,化工自动化及仪表,2004,31(3):1~5
[29]常贵宁,刘吉东等,工业泄漏与治理,北京:中国石化出版社,2001
[30] Sperl J L., System pinpoints leaks on point arguello offshore line, Oil & Gas Joumal, 1991, 89(36): 47~52
[31] Hennigar G W., Advances in gas leak detection, Pipeline & Gas Journal, 1985, 212(11): 39~42
[32] Hurt N H. Stand-alone sensors monitor for combustible gas leaks, Pipe Line Industry, 1991, 74(1): 65~66
[33]森村正直,正崎弘郎,传感器技术(黄香泉译),北京:科学出版社,1988
[34] Chet Sandberg, The application of a continuous leak detection system to pipeline and associated equipments, IEEE Transaction on Industry Applicaition, 1989, 25(5): 906~909
[35]夏海波,张来斌,王朝辉,国内外油气管道泄漏检测技术的发展现状,油气储运,2001,20(1):1~5
[36] Abdul Hameed, Malhotra, Detection of leaks from process pipes, Pipes & Pipelines International, 1999,44(5): 23~33
[37]李志鹏,李艳红,胡国新等,燃气管道检测技术综述,煤气与热力,2003,23(9):566~567
[38]希拉德[英],超声检测新技术(陈积懋,余南廷译),北京:科学出版社,1991
[39]常连庚,陈崇祺,张永江,管道腐蚀外检测技术的研究,管道技术与设备,2003,(1):40~42
[40]李莺莺,油气管道在线内检测技术若干关键问题研究:[博士学位论文],天津大学,2006
[41]张伟代译,ASTM E 1962-98利用电磁声换能器(EMAT)技术进行超声表面检查的标准检测方法,无损探伤,2003,27(3):30~35
[42] Kaltenbacher M., Lerch R., Landes H., et al., Computer optimization of electromagnetic acoustic transducers, IEEE Ultrasonics Symposium, 1998(2): 1029~1034
[43] Dai Xiaowei, Electromagnetic acoustic transducers: physical principles and finite element modeling, Ph.D Dissertation, Worcester Polytechnic Institue, 1991
[44] Hancock Jimmy W., Maclauchlan Daniel T., Murphy Ralph D., Electromagnetic acoustic transducer inspection of cracks in boiler tubes, United States Patent: US6282964, 2001
[45] D.P. Saini, S.L. Coulter, Fiber sensors sniff out environmental pollutants, Photonics Spectra, 1996(5): 91~94
[46] B. Culshaw, J. Dakin,光纤传感器(李少慧译),武汉:华中理工大学出版社,1997
[47] A.J.Rogers, Distributed optical-fiber sensor, J.Phys.D: Appl. Phys,1986(19): 2237~2255
[48]王延年,油气管线泄漏监测分布式光纤传感器的研究,西安交通大学学报,2003(9):933~936
[49]黄尚廉,梁大巍,分布式光纤温度传感器系统的研究,仪器仪表学报,1991,12(4):359~364
[50]周琰,靳世久等,分布式光纤管道泄漏检测和定位技术,石油学报,2006,27(2):121~124
[51]曲志刚,分布式光纤油气长输管道泄漏检测及预警技术研究:[博士学位论文],天津大学,2007
[52] Ellul I.R., Advances in pipeline leak detection techniques, Pipes and Pipelines International, 1989, 34(3): 7~12
[53]程载斌,王志华,马宏伟,管道应力波检测技术及研究进展,太原理工大学学报,2003,34(4):426~430
[54]靳世久,王立宁,李健等,原油管道漏点定位技术,石油学报,1998,19(3):93~97
[55] 3Rs Report P, Staff G J, Subsea leak detector, Pipeline and Gas Journal, 1987, 214(6): 36-37
[56]焦敬品,何存富,吴斌等,管道声发射泄漏检测技术研究进展,无损检测,2003,25(10):519~523
[57] Rajtar J M, Muthiah R, Pipeline leak detection system for oil and gas flowlines, Journal of Manufacturing Science and Engineering, 1997, 119: 105~109
[58] Jim. C. P. Liou, Leak detection by mass balance effective for Norman wells line, Oil & Gas Journal, 1996(3): 69~74
[59]蒋仕章,蒲家宁,用动态质量平衡原理进行管道检漏的精度分析,油气储运,2000,19(2):12~13
[60]常景龙,李铁,输气管道泄漏检测技术的选择和优化,油气储运,2000,19(5):9~13
[61] Edwad J. Farmer,管道泄漏检测的新方法(赵忠文译),国外油气储运,1992,10(3):37~39
[62]张仁忠,彭侠夫,路艳洁等,系统工程理论与实践,1999,12:123~127
[63]邹大稼译,相关法流体管路检漏的研究,动态分析与测试技术,1988(2):60~71
[64] R. Isermann, Process fault detection based on modeling and estimation methods-A survey, Automatica, 1984, 20(4): 387~404
[65] A. Benkherouf, Leak detection and location in gas pipelines, IEEE Proceedings, March, 1988, 135(2): 142~148
[66] S.A. Ashton, D.N. Shields, S. Daley, Fault detect in pipelines using nonlinear observers, UKACC International Conference on Control’98, 1998, 455: 135~140
[67] Z. Kowalczuk, K. Gunawickrama, Leak detection and isolation for transmission pipelines via nonlinear state estimate, 4th IFAC SAFEPROCESS, 2000, 2: 943~948
[68] Jim. C. P. Liou. Pipeline integrity monitoring using system impulse response, International Pipeline Conference ASME, San Francisco, USA, 1996, 1137~1142
[69] C. Verde, Leakage location in pipelines by minimal order nonlinear observer, Processings of the American Control Conference Arlington, VA June 25-27, 2001
[70] C. Verde, Multi-leak detection and isolation in fluid pipelines, Control Engineering Practice, June, 2001, 9(6): 673~682
[71]陶洛文,方崇智等,以辨识为基础的长输管线故障定位,清华大学学报,1986,26(2):69~75
[72]董东,王桂增,Kalman滤波器在长输管道泄漏诊断中的应用,自动化学报,1990,16(4):303~309
[73]李书文,用瞬变流模型方法确定管道泄漏位置,国外油气储运,1995,13(1):35~41
[74]白莉,李洪升,贾旭等,基于瞬变流和故障检测的管线泄漏监测试验分析,大连理工大学学报,2005,45(1):8~11
[75]唐秀家,颜大春,基于神经网络的管道泄漏检测仪器及方法,北京大学学报,1997,33(3):319~326
[76] Gomm J B, Adaptive neural network approach to on-line learning for process fault fiagnosis, Trans Inst MC, 1998, 20(3): 144~152
[77] X.J. Zhang, Statistical leak detection in gas and liquid pipelines, Pipes & Pipelines International, 1993, 38(4): 26~29
[78] X.J. Zhang, Designing a cost-effective and reliable pipeline leak detection system, Pipes & Pipelines International, January-February, 1997, 20~26
[79] Wiggert, Unsteady flows in lines with distributed leakage, Journal of Hydraulic, 94(HY1): 143~162
[80] McInnis D., Karney B., Transients in distribution networks: field tests and demand models, Journal of Hydraulic Engineering, 1995, 121(3): 218~231
[81] Xiao-Jian Wang, Martin F. Lambert, R. Simpson,et al., Leak detection in pipelines using the damping of fluid transients, Journal of Hydraulic Engineering, 2002, 128(7): 697~711
[82] Xiao-Jian Wang, Martin F. Lambert, R. Simpson,et al., Detection and location of a partial blockage in a pipeline using damping of fluid transients, Journal of Hydraulic Engineering, 2005, 131(3): 244~249
[83]郭新蕾,杨开林,管道泄漏检测的水力瞬变全频域数学模型,水利学报,2008,39(10):1264~1271
[84] M Taghvaei, S B M Beck, W J Staszewski, Leak detection in pipelines using cepstrum analysis, Meas. Sci. Technol., 2006, 17(4): 367~372
[85] Covas D, Ramos H, Almeida B., Standing wave difference method for leak detection in pipeline systems, Journal of Hydraulic Engineering, 2005, 131(12): 1106~1115
[86] Ferrante M, Brunone B., Pipe system diagnosis and leak detection by unsteady-state test.1.hormonic analisis, Advances in Water Resources, 2003, 26: 95~105
[87] Pedro L. Lee, John P. Vitkovsky, Martin F. Lambert, et al., Frequency domain analysis for detecting pipeline leaks, Journal of Hydraulic Engineering, 2005, 131(7): 601~604
[88] Sang Hyun Kim, Extensive development of leak detection algorithm by impulse response method, Journal of Hydraulic Engineering, 2005, 131(3): 201~208
[89] John P. Vitkovsky, Anton Bergant, R. Simpson, et al., System evaluation of one-dimensional unsteady friction models in simple pipelines, Journal of Hydraulic Engineering, 2006, 132(7): 696~708
[90] Ye H, Wang G Z, Fang C Z, Application of wavelet transform to leak detection and locaton in transport pipelines, Engineering Simulation, 1996, 13: 1025-1032
[91]输油管道实时泄漏监测系统的设计与应用,油气储运,2001,25(3):84~85
[92]朱晓星,陈悦,王桂增等,仿射变换在管道泄漏定位中的应用,山东大学学报,2005,35(3):32~35
[93]靳世久,唐秀家,王立宁等,原油管道泄漏检测与定位,仪器仪表学报,1997,18(4):343~348
[94]王立宁,李健,靳世久,热输原油管道瞬态压力波法泄漏点定位研究,石油学报,2000,21(4):93~96
[95]朱爱华,靳世久,曾周末,卡尔曼滤波在管道泄漏检测中的应用,化工自动化及仪表,2005,32(5):57~60
[96]郑杰,吴荔清,何维望等,输油管道泄漏检测信号的统计处理方法,石油大学学报, 2001,25(3):84~85
[97]吴荔清,李波,刘润华,小波去躁和奇异性分析方法在输油管道泄漏检测中的应用,科学技术与工程,2008,8(9):2450~2453
[98]蔡郑敏,彭飞,易发新等,长输管道泄漏故障诊断方法的研究,应用力学学报,2002,19(2):38~43
[99]白莉,岳前进,李洪升,噪声干扰条件下长输管道检漏的一致最大功效检验,石油学报,2004,25(2):108~112
[100]伦淑娴,张化光,冯健,自适应模糊神经网络系统在管道泄漏检测中的应用,石油学报,2004,25(4):101~104
[101]林伟国,郑志受,基于动态压力信号的管道泄漏检测技术研究,仪器仪表学报,2006,27(8):907~910
[102]林伟国,陈萍,孙剑,具有工况适应性的管道泄漏信号特征提取,化工学报,2008,59(7):1715~1720
[103]陈志刚,章来斌,王朝晖,基于ICA技术的管道泄漏特征信号提取方法,微机算机信息,2008第1期:65~66,51
[104]杨进,文玉梅,李平,基于相关分析和近似熵的管道泄漏声信号特征提取及辨识方法,仪器仪表学报,2009,30(2):272~279
[105]曲志刚,封皓,靳世久等,基于支持向量机的油气管道安全监测信号识别方法,天津大学学报,2009,42(5):465~470
[106]刘恩斌,彭善碧,李长俊等,基于瞬态模型的油气管道泄漏检测,天然气工业,2005,25(6):67~69
[107]王通,阎祥安,李伟华,基于谐波分析的输油管道泄漏检测机理研究,化工自动化及仪表,2005,32(1):51~54
[108]葛传虎,王桂增,叶昊,瞬变流能量损耗对管道泄漏检测的影响,化工学报,2008,59(6):1436~1440
[109]杨开林,郭新蕾,管道系统泄漏检测的全频域法,水利水电科技进展,2008,28(3):40~44
[110] Wylie E.B., Streeter V.L.,瞬变流,北京:水利电力出版社,1983
[111]张国忠,管道瞬变流动分析,山东:中国石油大学出版社,1994
[112] Wylie E.B., Streeter S.L., Fluid transients in systems, Prentice-Hall, Englewood Cliffs, N.J., 1993
[113] Press W. H., Teukolsky S. A., Vetterling W. T., et al., Numerical recipes: the art of scientific computing, Cambridge University Press, Cambridge, U.K., 1992
[114]岑康,液体管道瞬变流动分析及其应用研究:[硕士学位论文],西南石油大学,2006
[115] Holombe E L, Rouleau W T., The effect of viscous shear on transients in liquid lines, Journal of Basic Engineering, 1967, 89(1): 174~180
[116] Vardy A E., Unsteady flows: fact and friction, Proc 3rd Int Conf on Pressure Surges, Canterbury, England: BHRA, 1980: 15~26
[117] Bergant A, Simpson A R., Estimating unsteady friction in transient cavitating pipe flow, Proc 2nd Int Conf on Water Pipeline Systems, Edinburgh, Scotland: BHR Group, 1994: 333~342
[118]郭新蕾,郭永鑫,管道泄漏检测中瞬变流非恒定摩阻模型的研究,水力发电学报,2008,27(1):42~47
[119]才建,宫敬,宋生奎,瞬变流动中液体管道摩阻损失计算方法综述,水利水电科技发展,2007,27(2):90~94
[120] http://www.flowmaster.com/cn/index.html
[121] Shili Chen, Yan Sun, Likun Wang, et al. Development on dynamic pressure monitoring method and sensor for long pipeline leak detection: Proceedings of the 7th International Pipeline Conference, Calgary, Canada, 2008
[122]高连军,孟朝霞,提高压电传感器频率响应特性的实用方法,机电技术,2007,30(2):52~53
[123] Li Jian, Wang Likun, Zhou Yan, Study on detection technique for pipeline leakage, Transactions of Tianjin University, 2003, 9(2): 112~114
[124]张荣标,胡海燕,冯友兵,基于小波熵的微弱信号检测方法研究,仪表仪表学报,2007,28(11):2078~2084
[125]何正友,蔡玉梅,钱清泉,小波熵理论及其在电力系统故障检测中的应用研究,中国电机工程学报,2005,25(5):38~43
[126]王秀杰,杨敏,崔海军,坝体振动信号的小波熵特征,水利水电技术,2009,40(4):23~26
[127] D.G. Pérez, L. Zunino, M. Garavaglia, et al., Wavelet entropy and frctional Brownian motion time series, Physica A: Statistical Mechanics and its Applications, 2006, 365(2): 282~288
[128]印欣运,何永勇,彭志科等,小波熵及其在状态趋势分析中的应用,振动工程学报,2004,17(2):165~169
[129]任亚莉,基于小波包熵的运动意识任务分类研究,生物物理学报,2008,24(3):227~231
[130]孙增寿,范科举,结构损伤识别的小波熵指标研究,西安建筑科技大学学报,2009,41(1):18~24
[131]杨建国,小波分析及其工程应用,北京:机械工业出版社,2005
[132]李颖洁,邱意弘,朱贻盛,脑电信号分析方法及其应用,北京:科学出版社,2009
[133]刘延康,基于熵的预测与决策:[硕士学位论文],暨南大学,2005
[134]吕金虎,陆君安,陈士化,混沌时间序列分析及其应用,武汉:武汉大学出版社,2002
[135]韩敏,混沌时间序列预测理论与方法,北京:中国水利水电出版社,2007
[136]聂春燕,混沌系统与弱信号检测,北京:清华大学出版社,2009
[137]黄润生,黄浩,混沌及其应用(第二版),武汉:武汉大学出版社,2005
[138]刘式达,梁福明,刘式适等,自然科学中的混沌和分形,北京:北京大学出版社,2003
[139] Peter D W., The use of fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms, IEEE Transactions on Audio and Electroacoustics, 1967, 15(2): 70~73
[140]赵贵兵,石炎福,从混沌时间序列同时计算关联维和Kolmogorov熵,计算物理,1999,16(3):309~315
[141]顾圣士,王志谦,程极泰,太阳黑子数时间序列的分形研究及预测,应用数学和力学,1999,20(1):79~84
[142] Rosenstein M T, Collins J J, Deluca C J, A practical method for calculating largest Lyapunov exponents from small data sets, Physica D, 1993, 65: 117~134
[143] Taiye B, Sangoyomi, Nonlinear dynamics of the Great Salt Lake: dimension estimation, Water Resources Research, 1996, 32(1): 149~159
[144] Lai YC, Lerner D, Effective scaling regime for computing the correlation dimension from chaotic time series, Physica D, 1998, 115: 1~18
[145] Esteller R, Vachtsevanos G, Echauz J, et al., A comparison of waveform fractal dimension algorithms, IEEE Transactons on Circuits and Systems I: Fundamental Theory and Applications, 2001, 48(2): 177~183
[146]王东生,曹磊,混沌、分形及其应用,合肥:中国科学技术大学出版社,1992
[147] Takens F. Detecting Strange attractors in turbulence. Lecture Notes in Mathematics, Springer-Verlag, Berlin, 1981: 366~381
[148]马军海,陈予恕,混沌时序相空间重构的分析和应用研究,应用数学和力学,2000,21(11):1117~1124
[149] Fraser A M, Swinney H L, Independent coordinates for strange attractors from mutual information, Physical Review A, 1986, 33(2): 1134~1140
[150]杨志安,王光瑞,陈式刚,用等间距分格子法计算互信息函数确定延迟时间,计算物理,1995,12(4):442~448
[151] Kraskov A, Stogbauer H, Grassberger P, Estimating mutual information, Physical Review E, 2004, 69(9): Art. No. 066138 Part 2
[152] Grassberger P, Procaccia I. Characterization of strange attractors[J]. Physical Review. Letters, 1983, 50: 346~349.
[153]陈铿,韩伯棠,混沌时间序列分析中的相空间重构技术综述,计算机科学,2005,32(4):67~70
[154] Daniel T, Kaplan, Leon Glass, Direct test for determinism in a time series, Physical Review Letters, 1992, 68(4): 427~430
[155] Cao L, Practical method for determining the minimum embedding dimension of a scalar time series, Physica D, 1997, 110: 43~50
[156] Wolf A, Swift J B, Swinney H L, et al., Determining lyapunov exponents from a time series, Physica D, 1985, 16(2): 285~317
[157] Snao M, Sawada Y, Measurement of Lyapunov spectrum from a chaotic time series, Physical Review Letters, 1985, 55(10): 1082~1085
[158] Kantz H, A robust method to estimate the maximal Lyapunov exponent of a time series, Physics Letters A, 1994, 185(1): 77~87
[159] Grassberger P, Procaccia I, Characterization of strange attractors, Physical Review Letters, 1983, 50: 346~349
[160] A K Nandi, Higher order statistics for digital signal processing, The Institution of Electrical Engineers, 1994, 6: 1~4
[161] M Sabry-Rizk, D Romare, W Zgallai, Higher order statistics (HOS) in signal processing are they of any use? The Institution of Electrical Engineers, 1995: 1~7
[162] T.W.S. Chow, Gon Fei, Siu-yeung Cho, Higher order cumulants-based least squares for nonminimum-phase systems identification, IEEE Transaxtions on Industrial Electronics, 1997, 44(5): 707~716
[163] Murray A, Penman J, Extracting useful higher order features for condition monitoring using artificial neural network, IEEE Transactions on Signal Processing, 1997, 45(11): 2821~2828
[164] T.W.S. Chow, Tan H Z, HOS-based nonparametric and parametric methodologies for machine fault detection, IEEE Transaxtions on Industrial Electronics, 2000, 47(5): 1051~1059
[165]吴国正,夏立,尹为民,现代信号处理技术,武汉:武汉大学出版社,2003
[166]张贤达,现代信号处理(第二版),北京:清华大学出版社,2002
[167] Brillinger D B, An introduction to polyspectra, Ann. Math. Statst., 1965, 36: 1351~1374
[168] Sasaki K, Sato T, Yamashita Y, Minimum bias windows for bispectral estimation, J. Sound Vibaration, 1975, 40: 139~149
[169]雷继尧,何世德,工程信号处理技术,重庆:重庆大学出版社,1990
[170] M.J. Hinich, G.R. Wilson, Time delay estimation using the cross bispectrum, IEEE Transactions on Signal Processing, 1992, 40(1): 106~113
[171] Knapp C H, Carter G C, The generalized correlation method for estimation of time delay, IEEE Trans. Acoust., Speech, Signal Processing, 1976, 24: 320~327
[172] Sasaki K, Sato T, Makamura Y, Holographic passive sonar, IEEE Trans. Sonics Unltrason, 1977, 24: 193~200
[173] S.J. Julier, J.K. Uhlmann, H.F. Durrant-Whyte, A new approach for filtering nonlinear systems, Proceedings of the American Control Conference, 1995, 3: 1628~1632
[174] S.J. Julier, J.K. Uhlmann, A new extension of the kalman filter to nonlinear systems, the 11th International Symposium On Aerospace/Defense Sensing, Simulation and Controls, 1997, 3068: 182~193
[175] S.J. Julier, J.K. Uhlmann, Unscented filtering and nonlinear estimation, Proceeding of the IEEE, 2004, 92(3) : 401~422
[176]彭竞,李献球,王飞雪,基于UKF的GPS非线性动态滤波算法,全球定位系统,2005,30(6):30~33
[177]蔡志武,赵东明,UKF滤波器性能分析及其在轨道计算中的仿真试验,武汉大学学报,2006,31(2):180~183
[178] Ristic B, Farina A, Benvenuti D, et al., Performance bounds and comparison of nonlinear filters for tracking a ballistic object on re-entry, IEEE Proceeding on Radar, Sonar and Navigation, 2003, 150(2): 65~70
[179] Brunke S, Campbell M, Estimation architechture for future autonomous vehicles, Proceeding of American Control Conference, 2002, 1108~1114
[180] Chen Y Q, Huang T, Yong R, Parametric contour tracking using unscented kalman filter, Int Conf on Image Proc., New York, 2002: 613~616
[181] Yang F, Ye L, Pan Q, et al., UT method for space alignment problem, The 23th Chinese Conference, Wuxi, 2004: 281~285
[182] Eric A. Wan, Rudolph Van Der Merwe, Kalman filtering and neural networks, Chapter 7: the unscented kalman fitler, Wiley Publishing, Eds.S.Haykin, 2001
[183] S.J. Julier, J.K. Uhlmann, A consistent, debiased method for converting between polar and Cartesian coordinate systems, the 11th International Symposium On Aerospace/Defense Sensing, Simulation and Controls, 1997: 110~121
[184]潘泉,杨峰,叶亮等,一类非线性滤波器-UKF综述,控制与决策,2005,20(5):481~489, 494
[185] Eric A. Wan, Rudolph Van Der Merwe, The unscented Kalman filter for nonlinear estimation, Proc of Symposium 2000 on Adaptive Systems for Signal Processing, Communication and Control, Lake Louise, Alberta, 2000: 153~158
[186] D.J. Lee, K.T. Alfriend, Precise real-time orbit estimation using the unscented Kalman filter, Advances in the Astronautical Sciences, 2003, 114: 1853~1872
[187] Wu Y, Hu D, Wu M, et al., Unscented Kalman filtering for additive noise case: augmented versus nonaugmented, IEEE Signal Processing Letters, 2005, 12(5): 357~360
[188] A.H. Jazwinski, Stochastic processes and filtering theory, New York, Academic Press, 1970
[189]胡振涛,刘先省,一种基于噪声方差自学习的自适应滤波算法,中国控制与决策学术年会论文集,2005,1311~1314
[190]杨元喜,何海波,徐天河,论动态自适应滤波,测绘学报,2000,30(4):293~298
[191] Yang Y, He H, Xu G, A new adaptively robust filtering for kinematic geodetic positioning, IUGG/IAG Birmingham, 1999: 18~31
[192] Yang Y, Song L, Xu T, Robust estimator for correlated observations based on bifactor equivalent weights, Journal of Geodesy, 2000, 76: 353~358
[193]顾潮琪,周德云,曲艺海,一种精确跟踪机动目标的滤波算法的研究,电光与控制,2007,14(2):8～11
[194] O.Rioul, A discrete-time multiresolution theory, IEEE Trans. Signal Processing, 1993, 41(8): 2591~2602
[195] Mallat S, Zero-crossing of a wavelet transform, IEEE Trans. on Information Theory, 1991, 37(4): 1019~1033
[196] Shena M J, The discrete wavelet transform: wedding the a’trous and the Mallat algorithms, IEEE Trans. Signal Processing, 1992, 40(10): 2464~2482
[197]彭柯,基于SCADA系统的原油管道泄漏检测关键技术研究:[硕士学位论文],天津大学,2003
[198]宋春花,东营-临邑输油管线SCADA系统,石油化工自动化,2002,3:42~45
[199]吴爱国,何信,油气长输管道SCADA系统技术综述,油气储运,2000,19(3):43~46
[200]李桂成,甬沪宁进口原油管道SCADA系统,自动化仪表,2005,26(7):54~55, 58
[201]蔡锋,张岑,李代甜,SCADA系统在石油管线中的应用,石油化工自动化,2007,2:58~59, 91
[202]马国华,监控组态软件及其应用,北京:清华大学出版社,2002
[203]王常力,罗安,分布式控制系统(DCS)设计与应用实例,北京:电子工业出版社,2004
[204]李宏,OPC技术应用简析,设计技术,2006,3:46~50
[205]刘平,向学军,OPC技术在智能建筑弱电系统集成中的应用,三峡大学学报,2003,25(5):440~443
[206]梁里金,OPC技术在自动化监控系统的应用,计算机应用,2005,24(2):69~71
[207]施耐德电气,Unity Pro语言和程序结构参考手册,2005,SC DOC 621-HEC
[208]雷振山,LabVIEW 7 Express实用技术教程,北京:中国铁道出版社,2004
[209]刘金宁,孟晨,杨锁昌等,基于LabVIEW实现对OPC服务器的访问,计算机工程与设计,2004,25(10):1756~1759
[210] http://www.ioserver.com/
[2]中国管道运输面面观,中国水运,2007年第3期
[3]杨筱蘅,输油管道设计与管理,山东:中国石油大学出版社,2006
[4]梁翕章,管道建设基本规律,油气储运,2003,22(12):1~9
[5]王疆戈,世界油气管道现状,中国石化,2004(7):18~19
[6]张晋林,21世纪油气管道-未来的投资热点,北京节能,2000(1):28~29
[7]余洋,2007年中国油气管道发展综述,国际石油经济,2008(3):45~51
[8]吴元亚,从油气储运发展看“管道经济”的形成,石油天然气学报,2007,29(3):489~491
[9]宋艾玲,梁光川,王文耀,世界油气管道现状与发展趋势,2006,25(10):1~6
[10]李影,李国义,马文鑫,我国油气管道建设现状及发展趋势,中国西部科技,2009,8(14):6~8
[11]李世荣,宋艾玲,张树军,我国油气管道现状与发展趋势,油气田地面工程,2006,25(6):7~8
[12]王功礼,王莉,油气管道技术现状与发展趋势,石油规划设计,2004,15(4):1~7
[13]冯耀荣,陈浩,张劲军等,中国石油油气管道技术发展展望,油气储运,2008,27(3):1~8
[14]余洋,中国油气管道发展现状及前景展望,国际石油经济,2007(3):27~33
[15]蒲明,中国油气管道发展现状及展望,国际石油经济,2009(3):40~47
[16]潘家华,关于老龄管道的安全运行,油气储运,2008,27(5):1~3
[17]钱成文,侯铜瑞,刘广文等,管道的完整性评价技术,油气储运,2000,19(7):11~15
[18]维护国民经济安全运行的重要问题-全国政协委员王基铭、袁晴棠联名提出根治打孔盗油办法,中国石化,2003年第4期
[19]吴明,孙万富,周诗岽,油气储运自动化,北京:化学工业出版社,2006
[20]邓庆涛,张霆,长输管道泄漏的检测方法,中国西部科技,2009,8(12):23~25, 39
[21]唐恂,张琳,苏欣等,长输管道泄漏检测技术发展现状,2007,26(7):11~14, 29
[22]李炜,朱芸,长输管线泄漏检测与定位方法分析,天然气工业,2005,25(6):105~109
[23]王晓宇,王树立,管道泄漏检测及定位技术的研究现状与发展方向,江苏工业学院学报,2008,20(3):74~78
[24]肖智光,吴嗣跃,薛小红,管道泄漏检测技术应用分析,管道技术与设备,2009(2):23~26
[25]付道明,孙军,贺志刚等,国内外管道泄漏检测技术研究进展,石油机械,2004,32(3):48~51
[26]王雪亮,苏欣,杨伟,油气管道泄漏检测技术综述,天然气与石油,2007,25(3):19~23
[27]王效东,黄坤,朱小华等,油气管道泄漏检测技术发展现状,管道技术与设备,2008(1):24~26
[28]杨杰,王桂增,输气管道泄漏诊断技术综述,化工自动化及仪表,2004,31(3):1~5
[29]常贵宁,刘吉东等,工业泄漏与治理,北京:中国石化出版社,2001
[30] Sperl J L., System pinpoints leaks on point arguello offshore line, Oil & Gas Joumal, 1991, 89(36): 47~52
[31] Hennigar G W., Advances in gas leak detection, Pipeline & Gas Journal, 1985, 212(11): 39~42
[32] Hurt N H. Stand-alone sensors monitor for combustible gas leaks, Pipe Line Industry, 1991, 74(1): 65~66
[33]森村正直,正崎弘郎,传感器技术(黄香泉译),北京:科学出版社,1988
[34] Chet Sandberg, The application of a continuous leak detection system to pipeline and associated equipments, IEEE Transaction on Industry Applicaition, 1989, 25(5): 906~909
[35]夏海波,张来斌,王朝辉,国内外油气管道泄漏检测技术的发展现状,油气储运,2001,20(1):1~5
[36] Abdul Hameed, Malhotra, Detection of leaks from process pipes, Pipes & Pipelines International, 1999,44(5): 23~33
[37]李志鹏,李艳红,胡国新等,燃气管道检测技术综述,煤气与热力,2003,23(9):566~567
[38]希拉德[英],超声检测新技术(陈积懋,余南廷译),北京:科学出版社,1991
[39]常连庚,陈崇祺,张永江,管道腐蚀外检测技术的研究,管道技术与设备,2003,(1):40~42
[40]李莺莺,油气管道在线内检测技术若干关键问题研究:[博士学位论文],天津大学,2006
[41]张伟代译,ASTM E 1962-98利用电磁声换能器(EMAT)技术进行超声表面检查的标准检测方法,无损探伤,2003,27(3):30~35
[42] Kaltenbacher M., Lerch R., Landes H., et al., Computer optimization of electromagnetic acoustic transducers, IEEE Ultrasonics Symposium, 1998(2): 1029~1034
[43] Dai Xiaowei, Electromagnetic acoustic transducers: physical principles and finite element modeling, Ph.D Dissertation, Worcester Polytechnic Institue, 1991
[44] Hancock Jimmy W., Maclauchlan Daniel T., Murphy Ralph D., Electromagnetic acoustic transducer inspection of cracks in boiler tubes, United States Patent: US6282964, 2001
[45] D.P. Saini, S.L. Coulter, Fiber sensors sniff out environmental pollutants, Photonics Spectra, 1996(5): 91~94
[46] B. Culshaw, J. Dakin,光纤传感器(李少慧译),武汉:华中理工大学出版社,1997
[47] A.J.Rogers, Distributed optical-fiber sensor, J.Phys.D: Appl. Phys,1986(19): 2237~2255
[48]王延年,油气管线泄漏监测分布式光纤传感器的研究,西安交通大学学报,2003(9):933~936
[49]黄尚廉,梁大巍,分布式光纤温度传感器系统的研究,仪器仪表学报,1991,12(4):359~364
[50]周琰,靳世久等,分布式光纤管道泄漏检测和定位技术,石油学报,2006,27(2):121~124
[51]曲志刚,分布式光纤油气长输管道泄漏检测及预警技术研究:[博士学位论文],天津大学,2007
[52] Ellul I.R., Advances in pipeline leak detection techniques, Pipes and Pipelines International, 1989, 34(3): 7~12
[53]程载斌,王志华,马宏伟,管道应力波检测技术及研究进展,太原理工大学学报,2003,34(4):426~430
[54]靳世久,王立宁,李健等,原油管道漏点定位技术,石油学报,1998,19(3):93~97
[55] 3Rs Report P, Staff G J, Subsea leak detector, Pipeline and Gas Journal, 1987, 214(6): 36-37
[56]焦敬品,何存富,吴斌等,管道声发射泄漏检测技术研究进展,无损检测,2003,25(10):519~523
[57] Rajtar J M, Muthiah R, Pipeline leak detection system for oil and gas flowlines, Journal of Manufacturing Science and Engineering, 1997, 119: 105~109
[58] Jim. C. P. Liou, Leak detection by mass balance effective for Norman wells line, Oil & Gas Journal, 1996(3): 69~74
[59]蒋仕章,蒲家宁,用动态质量平衡原理进行管道检漏的精度分析,油气储运,2000,19(2):12~13
[60]常景龙,李铁,输气管道泄漏检测技术的选择和优化,油气储运,2000,19(5):9~13
[61] Edwad J. Farmer,管道泄漏检测的新方法(赵忠文译),国外油气储运,1992,10(3):37~39
[62]张仁忠,彭侠夫,路艳洁等,系统工程理论与实践,1999,12:123~127
[63]邹大稼译,相关法流体管路检漏的研究,动态分析与测试技术,1988(2):60~71
[64] R. Isermann, Process fault detection based on modeling and estimation methods-A survey, Automatica, 1984, 20(4): 387~404
[65] A. Benkherouf, Leak detection and location in gas pipelines, IEEE Proceedings, March, 1988, 135(2): 142~148
[66] S.A. Ashton, D.N. Shields, S. Daley, Fault detect in pipelines using nonlinear observers, UKACC International Conference on Control’98, 1998, 455: 135~140
[67] Z. Kowalczuk, K. Gunawickrama, Leak detection and isolation for transmission pipelines via nonlinear state estimate, 4th IFAC SAFEPROCESS, 2000, 2: 943~948
[68] Jim. C. P. Liou. Pipeline integrity monitoring using system impulse response, International Pipeline Conference ASME, San Francisco, USA, 1996, 1137~1142
[69] C. Verde, Leakage location in pipelines by minimal order nonlinear observer, Processings of the American Control Conference Arlington, VA June 25-27, 2001
[70] C. Verde, Multi-leak detection and isolation in fluid pipelines, Control Engineering Practice, June, 2001, 9(6): 673~682
[71]陶洛文,方崇智等,以辨识为基础的长输管线故障定位,清华大学学报,1986,26(2):69~75
[72]董东,王桂增,Kalman滤波器在长输管道泄漏诊断中的应用,自动化学报,1990,16(4):303~309
[73]李书文,用瞬变流模型方法确定管道泄漏位置,国外油气储运,1995,13(1):35~41
[74]白莉,李洪升,贾旭等,基于瞬变流和故障检测的管线泄漏监测试验分析,大连理工大学学报,2005,45(1):8~11
[75]唐秀家,颜大春,基于神经网络的管道泄漏检测仪器及方法,北京大学学报,1997,33(3):319~326
[76] Gomm J B, Adaptive neural network approach to on-line learning for process fault fiagnosis, Trans Inst MC, 1998, 20(3): 144~152
[77] X.J. Zhang, Statistical leak detection in gas and liquid pipelines, Pipes & Pipelines International, 1993, 38(4): 26~29
[78] X.J. Zhang, Designing a cost-effective and reliable pipeline leak detection system, Pipes & Pipelines International, January-February, 1997, 20~26
[79] Wiggert, Unsteady flows in lines with distributed leakage, Journal of Hydraulic, 94(HY1): 143~162
[80] McInnis D., Karney B., Transients in distribution networks: field tests and demand models, Journal of Hydraulic Engineering, 1995, 121(3): 218~231
[81] Xiao-Jian Wang, Martin F. Lambert, R. Simpson,et al., Leak detection in pipelines using the damping of fluid transients, Journal of Hydraulic Engineering, 2002, 128(7): 697~711
[82] Xiao-Jian Wang, Martin F. Lambert, R. Simpson,et al., Detection and location of a partial blockage in a pipeline using damping of fluid transients, Journal of Hydraulic Engineering, 2005, 131(3): 244~249
[83]郭新蕾,杨开林,管道泄漏检测的水力瞬变全频域数学模型,水利学报,2008,39(10):1264~1271
[84] M Taghvaei, S B M Beck, W J Staszewski, Leak detection in pipelines using cepstrum analysis, Meas. Sci. Technol., 2006, 17(4): 367~372
[85] Covas D, Ramos H, Almeida B., Standing wave difference method for leak detection in pipeline systems, Journal of Hydraulic Engineering, 2005, 131(12): 1106~1115
[86] Ferrante M, Brunone B., Pipe system diagnosis and leak detection by unsteady-state test.1.hormonic analisis, Advances in Water Resources, 2003, 26: 95~105
[87] Pedro L. Lee, John P. Vitkovsky, Martin F. Lambert, et al., Frequency domain analysis for detecting pipeline leaks, Journal of Hydraulic Engineering, 2005, 131(7): 601~604
[88] Sang Hyun Kim, Extensive development of leak detection algorithm by impulse response method, Journal of Hydraulic Engineering, 2005, 131(3): 201~208
[89] John P. Vitkovsky, Anton Bergant, R. Simpson, et al., System evaluation of one-dimensional unsteady friction models in simple pipelines, Journal of Hydraulic Engineering, 2006, 132(7): 696~708
[90] Ye H, Wang G Z, Fang C Z, Application of wavelet transform to leak detection and locaton in transport pipelines, Engineering Simulation, 1996, 13: 1025-1032
[91]输油管道实时泄漏监测系统的设计与应用,油气储运,2001,25(3):84~85
[92]朱晓星,陈悦,王桂增等,仿射变换在管道泄漏定位中的应用,山东大学学报,2005,35(3):32~35
[93]靳世久,唐秀家,王立宁等,原油管道泄漏检测与定位,仪器仪表学报,1997,18(4):343~348
[94]王立宁,李健,靳世久,热输原油管道瞬态压力波法泄漏点定位研究,石油学报,2000,21(4):93~96
[95]朱爱华,靳世久,曾周末,卡尔曼滤波在管道泄漏检测中的应用,化工自动化及仪表,2005,32(5):57~60
[96]郑杰,吴荔清,何维望等,输油管道泄漏检测信号的统计处理方法,石油大学学报, 2001,25(3):84~85
[97]吴荔清,李波,刘润华,小波去躁和奇异性分析方法在输油管道泄漏检测中的应用,科学技术与工程,2008,8(9):2450~2453
[98]蔡郑敏,彭飞,易发新等,长输管道泄漏故障诊断方法的研究,应用力学学报,2002,19(2):38~43
[99]白莉,岳前进,李洪升,噪声干扰条件下长输管道检漏的一致最大功效检验,石油学报,2004,25(2):108~112
[100]伦淑娴,张化光,冯健,自适应模糊神经网络系统在管道泄漏检测中的应用,石油学报,2004,25(4):101~104
[101]林伟国,郑志受,基于动态压力信号的管道泄漏检测技术研究,仪器仪表学报,2006,27(8):907~910
[102]林伟国,陈萍,孙剑,具有工况适应性的管道泄漏信号特征提取,化工学报,2008,59(7):1715~1720
[103]陈志刚,章来斌,王朝晖,基于ICA技术的管道泄漏特征信号提取方法,微机算机信息,2008第1期:65~66,51
[104]杨进,文玉梅,李平,基于相关分析和近似熵的管道泄漏声信号特征提取及辨识方法,仪器仪表学报,2009,30(2):272~279
[105]曲志刚,封皓,靳世久等,基于支持向量机的油气管道安全监测信号识别方法,天津大学学报,2009,42(5):465~470
[106]刘恩斌,彭善碧,李长俊等,基于瞬态模型的油气管道泄漏检测,天然气工业,2005,25(6):67~69
[107]王通,阎祥安,李伟华,基于谐波分析的输油管道泄漏检测机理研究,化工自动化及仪表,2005,32(1):51~54
[108]葛传虎,王桂增,叶昊,瞬变流能量损耗对管道泄漏检测的影响,化工学报,2008,59(6):1436~1440
[109]杨开林,郭新蕾,管道系统泄漏检测的全频域法,水利水电科技进展,2008,28(3):40~44
[110] Wylie E.B., Streeter V.L.,瞬变流,北京:水利电力出版社,1983
[111]张国忠,管道瞬变流动分析,山东:中国石油大学出版社,1994
[112] Wylie E.B., Streeter S.L., Fluid transients in systems, Prentice-Hall, Englewood Cliffs, N.J., 1993
[113] Press W. H., Teukolsky S. A., Vetterling W. T., et al., Numerical recipes: the art of scientific computing, Cambridge University Press, Cambridge, U.K., 1992
[114]岑康,液体管道瞬变流动分析及其应用研究:[硕士学位论文],西南石油大学,2006
[115] Holombe E L, Rouleau W T., The effect of viscous shear on transients in liquid lines, Journal of Basic Engineering, 1967, 89(1): 174~180
[116] Vardy A E., Unsteady flows: fact and friction, Proc 3rd Int Conf on Pressure Surges, Canterbury, England: BHRA, 1980: 15~26
[117] Bergant A, Simpson A R., Estimating unsteady friction in transient cavitating pipe flow, Proc 2nd Int Conf on Water Pipeline Systems, Edinburgh, Scotland: BHR Group, 1994: 333~342
[118]郭新蕾,郭永鑫,管道泄漏检测中瞬变流非恒定摩阻模型的研究,水力发电学报,2008,27(1):42~47
[119]才建,宫敬,宋生奎,瞬变流动中液体管道摩阻损失计算方法综述,水利水电科技发展,2007,27(2):90~94
[120] http://www.flowmaster.com/cn/index.html
[121] Shili Chen, Yan Sun, Likun Wang, et al. Development on dynamic pressure monitoring method and sensor for long pipeline leak detection: Proceedings of the 7th International Pipeline Conference, Calgary, Canada, 2008
[122]高连军,孟朝霞,提高压电传感器频率响应特性的实用方法,机电技术,2007,30(2):52~53
[123] Li Jian, Wang Likun, Zhou Yan, Study on detection technique for pipeline leakage, Transactions of Tianjin University, 2003, 9(2): 112~114
[124]张荣标,胡海燕,冯友兵,基于小波熵的微弱信号检测方法研究,仪表仪表学报,2007,28(11):2078~2084
[125]何正友,蔡玉梅,钱清泉,小波熵理论及其在电力系统故障检测中的应用研究,中国电机工程学报,2005,25(5):38~43
[126]王秀杰,杨敏,崔海军,坝体振动信号的小波熵特征,水利水电技术,2009,40(4):23~26
[127] D.G. Pérez, L. Zunino, M. Garavaglia, et al., Wavelet entropy and frctional Brownian motion time series, Physica A: Statistical Mechanics and its Applications, 2006, 365(2): 282~288
[128]印欣运,何永勇,彭志科等,小波熵及其在状态趋势分析中的应用,振动工程学报,2004,17(2):165~169
[129]任亚莉,基于小波包熵的运动意识任务分类研究,生物物理学报,2008,24(3):227~231
[130]孙增寿,范科举,结构损伤识别的小波熵指标研究,西安建筑科技大学学报,2009,41(1):18~24
[131]杨建国,小波分析及其工程应用,北京:机械工业出版社,2005
[132]李颖洁,邱意弘,朱贻盛,脑电信号分析方法及其应用,北京:科学出版社,2009
[133]刘延康,基于熵的预测与决策:[硕士学位论文],暨南大学,2005
[134]吕金虎,陆君安,陈士化,混沌时间序列分析及其应用,武汉:武汉大学出版社,2002
[135]韩敏,混沌时间序列预测理论与方法,北京:中国水利水电出版社,2007
[136]聂春燕,混沌系统与弱信号检测,北京:清华大学出版社,2009
[137]黄润生,黄浩,混沌及其应用(第二版),武汉:武汉大学出版社,2005
[138]刘式达,梁福明,刘式适等,自然科学中的混沌和分形,北京:北京大学出版社,2003
[139] Peter D W., The use of fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms, IEEE Transactions on Audio and Electroacoustics, 1967, 15(2): 70~73
[140]赵贵兵,石炎福,从混沌时间序列同时计算关联维和Kolmogorov熵,计算物理,1999,16(3):309~315
[141]顾圣士,王志谦,程极泰,太阳黑子数时间序列的分形研究及预测,应用数学和力学,1999,20(1):79~84
[142] Rosenstein M T, Collins J J, Deluca C J, A practical method for calculating largest Lyapunov exponents from small data sets, Physica D, 1993, 65: 117~134
[143] Taiye B, Sangoyomi, Nonlinear dynamics of the Great Salt Lake: dimension estimation, Water Resources Research, 1996, 32(1): 149~159
[144] Lai YC, Lerner D, Effective scaling regime for computing the correlation dimension from chaotic time series, Physica D, 1998, 115: 1~18
[145] Esteller R, Vachtsevanos G, Echauz J, et al., A comparison of waveform fractal dimension algorithms, IEEE Transactons on Circuits and Systems I: Fundamental Theory and Applications, 2001, 48(2): 177~183
[146]王东生,曹磊,混沌、分形及其应用,合肥:中国科学技术大学出版社,1992
[147] Takens F. Detecting Strange attractors in turbulence. Lecture Notes in Mathematics, Springer-Verlag, Berlin, 1981: 366~381
[148]马军海,陈予恕,混沌时序相空间重构的分析和应用研究,应用数学和力学,2000,21(11):1117~1124
[149] Fraser A M, Swinney H L, Independent coordinates for strange attractors from mutual information, Physical Review A, 1986, 33(2): 1134~1140
[150]杨志安,王光瑞,陈式刚,用等间距分格子法计算互信息函数确定延迟时间,计算物理,1995,12(4):442~448
[151] Kraskov A, Stogbauer H, Grassberger P, Estimating mutual information, Physical Review E, 2004, 69(9): Art. No. 066138 Part 2
[152] Grassberger P, Procaccia I. Characterization of strange attractors[J]. Physical Review. Letters, 1983, 50: 346~349.
[153]陈铿,韩伯棠,混沌时间序列分析中的相空间重构技术综述,计算机科学,2005,32(4):67~70
[154] Daniel T, Kaplan, Leon Glass, Direct test for determinism in a time series, Physical Review Letters, 1992, 68(4): 427~430
[155] Cao L, Practical method for determining the minimum embedding dimension of a scalar time series, Physica D, 1997, 110: 43~50
[156] Wolf A, Swift J B, Swinney H L, et al., Determining lyapunov exponents from a time series, Physica D, 1985, 16(2): 285~317
[157] Snao M, Sawada Y, Measurement of Lyapunov spectrum from a chaotic time series, Physical Review Letters, 1985, 55(10): 1082~1085
[158] Kantz H, A robust method to estimate the maximal Lyapunov exponent of a time series, Physics Letters A, 1994, 185(1): 77~87
[159] Grassberger P, Procaccia I, Characterization of strange attractors, Physical Review Letters, 1983, 50: 346~349
[160] A K Nandi, Higher order statistics for digital signal processing, The Institution of Electrical Engineers, 1994, 6: 1~4
[161] M Sabry-Rizk, D Romare, W Zgallai, Higher order statistics (HOS) in signal processing are they of any use? The Institution of Electrical Engineers, 1995: 1~7
[162] T.W.S. Chow, Gon Fei, Siu-yeung Cho, Higher order cumulants-based least squares for nonminimum-phase systems identification, IEEE Transaxtions on Industrial Electronics, 1997, 44(5): 707~716
[163] Murray A, Penman J, Extracting useful higher order features for condition monitoring using artificial neural network, IEEE Transactions on Signal Processing, 1997, 45(11): 2821~2828
[164] T.W.S. Chow, Tan H Z, HOS-based nonparametric and parametric methodologies for machine fault detection, IEEE Transaxtions on Industrial Electronics, 2000, 47(5): 1051~1059
[165]吴国正,夏立,尹为民,现代信号处理技术,武汉:武汉大学出版社,2003
[166]张贤达,现代信号处理(第二版),北京:清华大学出版社,2002
[167] Brillinger D B, An introduction to polyspectra, Ann. Math. Statst., 1965, 36: 1351~1374
[168] Sasaki K, Sato T, Yamashita Y, Minimum bias windows for bispectral estimation, J. Sound Vibaration, 1975, 40: 139~149
[169]雷继尧,何世德,工程信号处理技术,重庆:重庆大学出版社,1990
[170] M.J. Hinich, G.R. Wilson, Time delay estimation using the cross bispectrum, IEEE Transactions on Signal Processing, 1992, 40(1): 106~113
[171] Knapp C H, Carter G C, The generalized correlation method for estimation of time delay, IEEE Trans. Acoust., Speech, Signal Processing, 1976, 24: 320~327
[172] Sasaki K, Sato T, Makamura Y, Holographic passive sonar, IEEE Trans. Sonics Unltrason, 1977, 24: 193~200
[173] S.J. Julier, J.K. Uhlmann, H.F. Durrant-Whyte, A new approach for filtering nonlinear systems, Proceedings of the American Control Conference, 1995, 3: 1628~1632
[174] S.J. Julier, J.K. Uhlmann, A new extension of the kalman filter to nonlinear systems, the 11th International Symposium On Aerospace/Defense Sensing, Simulation and Controls, 1997, 3068: 182~193
[175] S.J. Julier, J.K. Uhlmann, Unscented filtering and nonlinear estimation, Proceeding of the IEEE, 2004, 92(3) : 401~422
[176]彭竞,李献球,王飞雪,基于UKF的GPS非线性动态滤波算法,全球定位系统,2005,30(6):30~33
[177]蔡志武,赵东明,UKF滤波器性能分析及其在轨道计算中的仿真试验,武汉大学学报,2006,31(2):180~183
[178] Ristic B, Farina A, Benvenuti D, et al., Performance bounds and comparison of nonlinear filters for tracking a ballistic object on re-entry, IEEE Proceeding on Radar, Sonar and Navigation, 2003, 150(2): 65~70
[179] Brunke S, Campbell M, Estimation architechture for future autonomous vehicles, Proceeding of American Control Conference, 2002, 1108~1114
[180] Chen Y Q, Huang T, Yong R, Parametric contour tracking using unscented kalman filter, Int Conf on Image Proc., New York, 2002: 613~616
[181] Yang F, Ye L, Pan Q, et al., UT method for space alignment problem, The 23th Chinese Conference, Wuxi, 2004: 281~285
[182] Eric A. Wan, Rudolph Van Der Merwe, Kalman filtering and neural networks, Chapter 7: the unscented kalman fitler, Wiley Publishing, Eds.S.Haykin, 2001
[183] S.J. Julier, J.K. Uhlmann, A consistent, debiased method for converting between polar and Cartesian coordinate systems, the 11th International Symposium On Aerospace/Defense Sensing, Simulation and Controls, 1997: 110~121
[184]潘泉,杨峰,叶亮等,一类非线性滤波器-UKF综述,控制与决策,2005,20(5):481~489, 494
[185] Eric A. Wan, Rudolph Van Der Merwe, The unscented Kalman filter for nonlinear estimation, Proc of Symposium 2000 on Adaptive Systems for Signal Processing, Communication and Control, Lake Louise, Alberta, 2000: 153~158
[186] D.J. Lee, K.T. Alfriend, Precise real-time orbit estimation using the unscented Kalman filter, Advances in the Astronautical Sciences, 2003, 114: 1853~1872
[187] Wu Y, Hu D, Wu M, et al., Unscented Kalman filtering for additive noise case: augmented versus nonaugmented, IEEE Signal Processing Letters, 2005, 12(5): 357~360
[188] A.H. Jazwinski, Stochastic processes and filtering theory, New York, Academic Press, 1970
[189]胡振涛,刘先省,一种基于噪声方差自学习的自适应滤波算法,中国控制与决策学术年会论文集,2005,1311~1314
[190]杨元喜,何海波,徐天河,论动态自适应滤波,测绘学报,2000,30(4):293~298
[191] Yang Y, He H, Xu G, A new adaptively robust filtering for kinematic geodetic positioning, IUGG/IAG Birmingham, 1999: 18~31
[192] Yang Y, Song L, Xu T, Robust estimator for correlated observations based on bifactor equivalent weights, Journal of Geodesy, 2000, 76: 353~358
[193]顾潮琪,周德云,曲艺海,一种精确跟踪机动目标的滤波算法的研究,电光与控制,2007,14(2):8～11
[194] O.Rioul, A discrete-time multiresolution theory, IEEE Trans. Signal Processing, 1993, 41(8): 2591~2602
[195] Mallat S, Zero-crossing of a wavelet transform, IEEE Trans. on Information Theory, 1991, 37(4): 1019~1033
[196] Shena M J, The discrete wavelet transform: wedding the a’trous and the Mallat algorithms, IEEE Trans. Signal Processing, 1992, 40(10): 2464~2482
[197]彭柯,基于SCADA系统的原油管道泄漏检测关键技术研究:[硕士学位论文],天津大学,2003
[198]宋春花,东营-临邑输油管线SCADA系统,石油化工自动化,2002,3:42~45
[199]吴爱国,何信,油气长输管道SCADA系统技术综述,油气储运,2000,19(3):43~46
[200]李桂成,甬沪宁进口原油管道SCADA系统,自动化仪表,2005,26(7):54~55, 58
[201]蔡锋,张岑,李代甜,SCADA系统在石油管线中的应用,石油化工自动化,2007,2:58~59, 91
[202]马国华,监控组态软件及其应用,北京:清华大学出版社,2002
[203]王常力,罗安,分布式控制系统(DCS)设计与应用实例,北京:电子工业出版社,2004
[204]李宏,OPC技术应用简析,设计技术,2006,3:46~50
[205]刘平,向学军,OPC技术在智能建筑弱电系统集成中的应用,三峡大学学报,2003,25(5):440~443
[206]梁里金,OPC技术在自动化监控系统的应用,计算机应用,2005,24(2):69~71
[207]施耐德电气,Unity Pro语言和程序结构参考手册,2005,SC DOC 621-HEC
[208]雷振山,LabVIEW 7 Express实用技术教程,北京:中国铁道出版社,2004
[209]刘金宁,孟晨,杨锁昌等,基于LabVIEW实现对OPC服务器的访问,计算机工程与设计,2004,25(10):1756~1759
[210] http://www.ioserver.com/