• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (21): 90-100.doi: 10.3901/JME.2018.21.090

• 机械动力学 • 上一篇    下一篇

基于平方包络谱相关峭度的最优共振解调诊断滚动轴承故障

陈祥龙1, 冯辅周2, 张兵志3, 江鹏程2   

  1. 1. 武警士官学院 杭州 310023;
    2. 陆军装甲兵学院车辆工程系 北京 100072;
    3. 北京特种车辆研究所 北京 100072
  • 收稿日期:2017-11-11 修回日期:2018-04-12 出版日期:2018-11-05 发布日期:2018-11-05
  • 通讯作者: 冯辅周(通信作者),男,1971年出生,博士,教授,博士研究生导师。主要研究方向为状态监测与故障诊断、故障预测与健康管理。E-mail:fengfuzhou@tsinghua.org.cn
  • 作者简介:陈祥龙,男,1989年出生,博士,讲师。主要研究方向为状态监测与故障诊断。E-mail:chenchendeplace@163.com
  • 基金资助:
    装备预研基金重点资助项目(9140A27020115JB35071)。

Rolling Bearing Fault Diagnosis with Optimal Resonant Frequency Band Demodulation Based on Squared Envelope Spectral Correlated Kurtosis

CHEN Xianglong1, FENG Fuzhou2, ZHANG Bingzhi3, JIANG Pengcheng2   

  1. 1. Sergeant Academy of CAPF, Hangzhou 310023;
    2. Department of Vehicle Engineering, Academy of Army Armored Forces, Beijing 100072;
    3. Beijing Special Vehicle Research Institute, Beijing 100072
  • Received:2017-11-11 Revised:2018-04-12 Online:2018-11-05 Published:2018-11-05

摘要: 利用峭度指标识别滚动轴承共振频带,结合包络分析解调故障特征,是滚动轴承故障诊断的常用方法。峭度指标虽然能够表征瞬态冲击特征的强弱,却无法利用瞬态冲击特征循环发生的特点,导致其难以区分脉冲噪声和循环瞬态冲击,无法准确识别共振频带,进而容易导致错误的故障诊断结果。受峭度和信号自相关的启发,重新定义相关峭度,提出平方包络谱相关峭度新指标;并结合Morlet小波滤波和粒子群优化算法,提出一种滚动轴承最优共振解调方法。通过与峭度、谱峭度等进行对比,仿真和试验分析结果表明平方包络谱相关峭度能够准确识别循环瞬态冲击;最优共振解调能够稳健确定共振频带的最优中心频率和带宽,准确解调诊断滚动轴承故障,验证了平方包络谱相关峭度在检测循环瞬态冲击和识别最优共振频带中的有效性和优越性。

关键词: 故障诊断, 滚动轴承, 平方包络谱相关峭度, 最优共振解调

Abstract: It is a common practice of rolling bearing fault diagnosis by choosing rolling bearing resonance band based on kurtosis index and demodulating fault features. Kurtosis can only represent the strength of transients' features, but it cannot differentiate impulse noise and transients, which is cyclical generated in rolling bearing vibration signals. As a result, it leads to the inaccurate identification results of the rolling bearing's resonance band and the unsatisfactory demodulation results of the fault features. In order to overcome these shortcomings, this manuscript redefined the correlated kurtosis and put forward the constructor method of correlated kurtosis in squared envelope spectrum. Combining Morlet wavelet filtering and particle swarm optimization, the proposed method can adaptively choose the optimal resonance band of rolling bearings and demodulate rolling bearing's fault features. The analysis results of simulation data and test data showed that compared with index, such as kurtosis and envelope spectral kurtosis, the proposed correlated kurtosis in squared envelope spectrum can overcome the lack of kurtosis-based index. Moreover, combining optimal resonance frequency demodulation, it can select the exact optimal resonance band's central frequency and bandwidth of the rolling bearing. Improved results of the rolling bearing fault diagnosis verified the validity and advantage of this method.

Key words: fault diagnosis, resonant band demodulation, rolling bearing, squared envelope spectral correlated kurtosis

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