基于GUI的旋转机械早期故障诊断系统设计与开发

详细信息    查看全文 | 推荐本文 |

英文篇名：Design and Development of Early Fault Diagnosis System for Rotating Machinery Based on GUI 作者：唐超 ; 张晓迪 ; 黄涛涛 ; 李荣强 ; 蒋永华 英文作者：TANG Chao;ZHANG Xiao-di;HUANG Tao-tao;LI Rong-qiang;JIANG Yong-hua;School of Engineering,Zhejiang Normal University; 关键词：Matlab ; GUI ; 故障诊断 ; 旋转机械 英文关键词：Matlab;;GUI;;fault diagnosis;;rotating machinery 中文刊名：JXKF 英文刊名：Mechanical & Electrical Engineering Technology 机构：浙江师范大学工学院; 出版日期：2019-04-03 13:13 出版单位：机电工程技术 年：2019 期：v.48;No.324 基金：国家自然科学基金(编号:51405449);; 教育部产学合作协同育人项目(编号:201702060004) 语种：中文; 页：JXKF201903022 页数：4 CN：03 ISSN：44-1522/TH 分类号：62-65

摘要

针对目前旋转机械早期故障诊断系统的现状和工程实际需要,基于Windows系统为开发平台,采用图形化语言技术和Matlab为开发工具,研制一套基于GUI的旋转机械早期故障诊断系统。系统主要包括信号读取与显示模块、信号分析诊断模块、分析结果显示等功能模块。可实现对信号读取、滤波、时域分析、频域分析、经验模态分解与希尔伯特变换、双谱分析、自适应带宽限制信号BS-EMD混叠消除、流形学习降维及故障分类识别等功能。最后进行实验测试分析,验证其可靠性和实用性。
        Aiming at the present situation of early fault diagnosis system for rotating machinery and the actual needs of engineering,a GUI-based early fault diagnosis system for rotating machinery was developed based on Windows system as the development platform,graphical language technology and MATLAB as the development tool. The system mainly includes signal reading and display module,signal analysis and diagnosis module,analysis results display and other functional modules. It can realize the functions of signal reading,filtering, time domain analysis, frequency domain analysis, empirical mode decomposition and Hilbert transform, bispectrum analysis, BS-EMD aliasing elimination of adaptive bandwidth-limited signals, manifold learning dimensionality reduction and fault classification and recognition. Finally,the reliability and practicability of the system were verified by experimental test and analysis.

引文

[1]蒋永华,莫晓强,俞益鸣,等.基于USB的振动信号测试分析系统的设计与实现[J].现代电子技术,2013,36(12):129-132.
    [2]秦树人,等.机械工程测试原理与技术[M].重庆:重庆大学出版社,2002.
    [3]蒋永华.旋转机械非平稳信号微弱特征提取方法研究[D].重庆:重庆大学,2010.
    [4]唐贵基,刘德庆,张超.基于VC++的旋转机械故障诊断系统的研究[J].汽轮机技术,2010,52(4):293-296.
    [5]余胜威,吴婷,罗建桥.MATLAB GUI设计入门与实战[M].北京:清华大学出版社,2016.
    [6]王广,邢林芳.MATLAB GUI程序设计[M].北京:清华大学出版社,2018.
    [7]莫晓强,蒋永华,俞益鸣,等.基于VC++的动态信号分析系统的研究与设计[J].现代电子技术,2013,36(23):52-56.
    [8]WU Z,HUANG N E.Ensemble Empirical Mode Decomposition:A Noise Assisted Data Analysis Method.Adv Adapt Data Analy 1:1-42[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
    [9]蒋永华,焦卫东,李荣强,等.应用自适应带宽信号的BS-EMD混叠消除[J].振动与冲击,2017,37(16):83-90.
    [10]蒋永华,李荣强,焦卫东,等.应用EMD和双谱分析的故障特征提取方法[J].振动、测试与诊断,2017,37(2):338-342.