阶次跟踪和Hilbert包络解调在滚动轴承故障诊断中应用

杨武成

doi:10.13433/j.cnki.1003-8728.2017.1212

阶次跟踪和Hilbert包络解调在滚动轴承故障诊断中应用

doi: 10.13433/j.cnki.1003-8728.2017.1212

杨武成

1.
西安航空学院机械工程学院, 西安 710077

基金项目:

陕西省教育厅科研计划项目（17JK0396）、西安航空学院校级科研项目（2014KY1207）及西安航空学院机电技术研究所科研基金项目（JDKYJJ2017）资助

详细信息

作者简介:
杨武成(1976-),副教授,硕士,研究方向为制造系统集成及其自动化、计算机仿真技术,ywc2001@126.com

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- 文章访问数: 201
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- 被引次数: 0
出版历程
- 收稿日期: 2016-07-11
- 刊出日期: 2017-12-15

Application of Order Tracking and Hilbert Envelope Demodulation in Rolling Bearing Fault Diagnosis

Yang Wucheng

1.
School of Mechanical Engineering, Xi'an Aeronautical University, Xi'an 710077, China

摘要

摘要: 针对风力发电机组传动链时变工况下振动信号非平稳和调制特点，提出了一种基于阶次跟踪和Hilbert包络解调的滚动轴承故障诊断的新方法。使用阶次跟踪把时间域采样转换成角度域进行等角度重采样，把时间域非平稳信号变换成角度域平稳信号，可消除"频谱模糊"现象，进一步应用Hilbert包络解调把低频故障信号从高频载波信号中解调出来。结果表明，阶次跟踪和Hilbert包络解调联合能够有效地提取时变工况下非平稳振动信号的故障特征频率并判断故障类型。
- 阶次跟踪 /
- Hilbert包络解调 /
- 滚动轴承 /
- 故障诊断
Abstract: A new analysis method combined order tracking with Hilbert envelope demodulation is proposed to fault diagnosis of the wind turbine transmission chain, which is non-stationary and demodulating. Using the order tracking, sampling vibration signals in time domain are resampled in the angle domain, so that the non-stationary signal in time domain was converted into stationary signal in angle domain. It can overcome effectively the "frequency smear" phenomenon, which cannot be solved with the traditional frequency spectrum method. Then, the Hilbert envelope demodulation was used to demodulate the low frequency fault signal from the high frequency carrier signal.
- order tracking /
- Hilbert envelope demodulation /
- roller bearing /
- fault diagnosis

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参考文献(15)

[1]	郭瑜,秦树人.旋转机械非稳定信号的伪转速跟踪阶比分析[J].振动与冲击,2004,23(1):61-64,66 Guo Y, Qin S R. Pseudo-speed tracking order analysis for non-stationary vibration signals of rotating machinery[J]. Journal of Vibration and Shock, 2004,23(1):61-64,66(in Chinese)
[2]	傅勤毅,章易程,应力军,等.滚动轴承故障特征的小波提取方法[J].机械工程学报,2001,37(2):30-32,37 Fu Q Y, Zhang Y C, Ying L J, et al. Extraction of failure character signal of rolling element bearings by wavelet[J]. Chinese Journal of Mechanical Engineering, 2001,37(2):30-32,37(in Chinese)
[3]	杨宇,于德介,程军圣.基于Hilbert边际谱的滚动轴承故障诊断方法[J].振动与冲击,2005,24(1):70-72 Yang Y, Yu D J, Cheng J S. Roller bearing fault diagnosis based on Hilbert marginal spectrum[J]. Journal of Vibration and Shock, 2005,24(1):70-72(in Chinese)
[4]	孔亚林.基于振动信号的滚动轴承故障诊断方法研究[D].大连:大连理工大学,2005 Kong Y L. Research on fault diagnosis method and application for rolling element bearing based on vibration signal[D]. Dalian:Dalian University of Technology, 2005(in Chinese)
[5]	关晓慧.风力发电机组状态监测与故障诊断系统研究[D].北京:华北电力大学,2012 Guan X H. Research on condition monitoring and fault diagnosis system of wind turbine[D]. Beijing:North China Electric Power University, 2012(in Chinese)
[6]	康海英,栾军英,田燕,等.阶次跟踪在齿轮磨损中的应用[J].振动与冲击,2006,25(4):112-113,118 Kang H Y, Luan J Y, Tian Y, et al. Application of the order tracking analysis in gear wearing[J]. Journal of Vibration and Shock, 2006,25(4):112-113,118(in Chinese)
[7]	朱继梅.非稳态振动信号分析(连载)[J].振动与冲击,2000,19(2) Zhu J M. Unstable vibration signal analysis[J]. Journal of Vibration and Shock, 2000,19(2) (in Chinese)
[8]	Bossley K M, Mckendrick R J, Harris C J, et al. Hybrid computed order tracking[J]. Mechanical Systems and Signal Processing, 1999,13(4):627-641
[9]	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 Y, Qin S R, Tang B P, 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)
[10]	杨炯明,秦树人,季忠.旋转机械阶比分析技术中阶比采样实现方式的研究[J].中国机械工程,2005,16(3):249-253 Yang J M, Qin S R, Ji Z. Research on the methods to implement order sampling in rotating machinery order analysis technique[J]. China Mechanical Engineering, 2005,16(3):249-253(in Chinese)
[11]	汪伟,杨通强,王红,等.非稳态信号计算阶次分析中的重采样率研究[J].振动、测试与诊断,2009,29(3):349-351 Wang W, Yang T Q, Wang H, et al. Research on resampling of order tracking analysis of non-stationary signals[J]. Journal of Vibration, Measurement & Diagnosis, 2009,29(3):349-351(in Chinese)
[12]	Fyfe K R, Munck E D S. Analysis of computed order tracking[J]. Mechanical Systems and Signal Processing, 1997,11(2):187-205
[13]	Wu J D, Liu C H. An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network[J]. Expert Systems with Applications, 2009,36(3):4278-4286
[14]	Antoni J. Fast computation of the kurtogram for the detection of transient faults[J]. Mechanical Systems and Signal Processing, 2006,21(1):108-124
[15]	李国华,张永忠.机械故障诊断[M].北京:化学工业出版社,2006 Li G H, Zhang Y Z. Mechanical fault diagnosis[M]. Beijing:Chemical Industry Press, 2006(in Chinese)