基于形态分量分析与阶次跟踪的齿轮箱复合故障诊断方法

陈向民; 于德介*; 李蓉

doi:10.13224/j.cnki.jasp.2014.01.029

基于形态分量分析与阶次跟踪的齿轮箱复合故障诊断方法

doi: 10.13224/j.cnki.jasp.2014.01.029

湖南大学汽车车身先进设计制造国家重点实验室, 长沙 410082

基金项目: 国家自然科学基金（51275161）；湖南省科技计划（2012SK3184）；广东省省部产学研结合项目（2009B090300312）

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出版历程
- 收稿日期: 2012-11-30
- 刊出日期: 2014-01-28

Compound fault diagnosis method for gearbox based on morphological component analysis and order tracking

State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China

摘要

摘要: 针对变转速下齿轮箱复合故障的故障特征提取，提出了基于形态分量分析与阶次跟踪的齿轮箱复合故障诊断方法.该方法根据齿轮箱复合故障振动信号中齿轮和滚动轴承故障成分的形态差异性，先用形态分量分析将其分解为包含齿轮局部故障信息的谐振分量、包含滚动轴承局部故障信息的冲击分量和随机噪声分量，再根据实测转速信号分别对谐振分量和冲击分量进行包络阶次分析，根据各包络阶次谱诊断齿轮箱复合故障.算法仿真和应用实例表明：该方法能有效分离变转速下齿轮和滚动轴承的故障特征，且其故障特征提取效果要优于传统的包络阶次谱方法.
- 阶次跟踪 /
- 形态分量分析 /
- 包络阶次谱 /
- 齿轮箱 /
- 复合故障
Abstract: In view of the problem of extracting fault characteristics from rotating speed changing gearbox with compound faults, a compound fault diagnosis method for gearbox based on morphological component analysis(MCA) and order tracking was proposed. According to the morphological diversity of the fault signals of gear and rolling bearing, the vibration signals of gearbox with compound fault could be decomposed into the harmonic component containing the fault information of gear, the impulse component containing the fault information of rolling bearing and the random noise component by using MCA. And according to the measured rotating speed,the harmonic component and the impulse component were then analyzed respectively by the envelope order analysis, and the compound fault diagnosis was carried out based on the envelope order spectra. Simulation and application examples indicate that the proposed method can effectively separate the fault characteristic signals of gear and rolling bearing under changing rotating speed,and it is superior to traditional envelope order spectrum method according to the effect of fault characteristic extraction.
- order tracking /
- morphological component analysis /
- envelope order spectrum /
- gearbox /
- compound faults

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参考文献(18)

[1]	张含蕾, 周洁敏, 李刚.基于小波分析的感应电动机复合故障诊断[J].中国电机工程学报, 2006, 26(8):159-162. ZHANG Hanlei, ZHOU Jiemin, LI Gang.Mixed fault diagnosis based on wavelet analysis in induction motors[J].Proceedings of the Chinese Society for Electrical Engineering, 2006, 26(8):159-162.(in Chinese)
[2]	杨宇, 王欢欢, 程军圣, 等.基于LMD的包络谱特征值在滚动轴承故障诊断中的应用[J].航空动力学报, 2012, 27(5):1153-1158. YANG Yu, WANG Huanhuan, CHENG Junsheng, et al.Application of envelope spectrum characteristics based on LMD to roller bearing fault diagnosis[J].Journal of Aerospace Power, 2012, 27(5):1153-1158.(in Chinese)
[3]	丁康, 李巍华, 朱小勇.齿轮及齿轮箱故障诊断实用技术[M].北京:机械工业出版社, 2005.
[4]	Starck J L, Moudden Y, Robin J.Morphological component analysis[J].Proceedings of Society of Photo-optical Instrumentation Engineers, 2005, 5914:5914.1-5914.15.
[5]	李映, 张艳宁, 许星.基于信号稀疏表示的形态成分分析:进展和展望[J].电子学报, 2009, 37(1):146-152. LI Ying, ZHANG Yanning, XU Xing.Advances and perspective on morphological component analysis based on sparse representation[J].Acta Electronica Sinica, 2009, 37(1):146-152.(in Chinese)
[6]	Starck J L, Elad M, Donoho D.Redundant multiscale transforms and their application for morphological component separation[J].Advances in Imaging and Electron Physics, 2004, 132(82):287-348.
[7]	Elad M, Starck J L, Querre P.Simultaneous cartoon and texture image inpainting using morphological component analysis(MCA)[J].Journal on Applied and Computational Harmonic Analysis, 2005, 19(3):340-358.
[8]	杨杰, 郑海起, 关贞珍, 等.基于形态成分分析的轴承复合故障诊断[J].轴承, 2011(8):38-42. YANG Jie, ZHENG Haiqi, GUAN Zhenzhen, et al.Compound fault diagnosis for bearings based on morphological component annlysis[J].Bearing, 2011(8):38-42.(in Chinese)
[9]	李辉, 郑海起, 唐力伟.基于改进形态分量分析的齿轮箱轴承多故障诊断研究[J].振动与冲击, 2012, 31(12):135-140. LI Hui, ZHENG Haiqi, TANG Liwei.Bearing multi-fault diagnosis based on improved morphological component analysis[J].Journal of Vibration and Shock, 2012, 31(12):135-140.(in Chinese)
[10]	Heyns T, Godsill S J, Villiers J P, et al.Statistical gear health analysis which is robust to fluctuating loads and operating speeds[J].Mechanical Systems and Signal Processing, 2012, 27(2):651-666.
[11]	Borghesani P, Pennacchi P, Randall R B, et al.Order tracking for discrete-random separation in variable speed conditions[J].Mechanical Systems and Signal Processing, 2012, 30(1):1-22.
[12]	Saavedra P N, Rodriguez C G.Accurate assessment of computed order tracking[J].Shock and Vibration, 2006, 13(1):13-32.
[13]	郭瑜, 秦树人, 汤宝平, 等.基于瞬时频率估计的旋转机械阶比跟踪[J].机械工程学报, 2003, 39(3):32-36. GUO Yu, QIN Shuren, TANG Baoping, et al.Order tracking of rotating machinery based on instantaneous frequency estimation[J].Chinese Journal of Mechanical Engineering, 2003, 39(3):32-36.(in Chinese)
[14]	陈向民, 于德介, 罗洁思.基于线调频小波路径追踪阶比循环平稳解调的齿轮故障诊断[J].机械工程学报, 2012, 48(3):95-101. CHEN Xiangmin, YU Dejie, LUO Jiesi.Gear tooth fault diagnosis by using order cyclostationary demodulating approach based on chirplet path pursuit[J].Journal of Mechanical Engineering, 2012, 48(3):95-101.(in Chinese)
[15]	Chen S S, Donoho D L, Saunders M A.Atomic decomposition by basis pursuit[J].Journal on Scientific Computing, 1998, 20(1):33-61.
[16]	Mallet S G, Zhang Z F.Matching pursuit with time-frequency dictionaries[J].IEEE Transaction on Signal Processing, 1993, 41(12):3397-3415.
[17]	Bobin J, Starck J L, Fadili J.Morphological component analysis:an adaptive thresholding strategy[J].IEEE Transaction on Image Processing, 2007, 16(11):2675-2681.
[18]	GAO Hongye, Bruce A G.Waveshrink and semisoft shrinkage[R].Statistical Science Research Report, No.39, 1995.