Application of cascaded bistable stochastic resonance and Hermite interpolation local mean decomposition method in gear fault diagnosis

被引：0
作者：
Li, Yong-Bo [1 ]
Xu, Min-Qiang [1 ]
Zhao, Hai-Yang [1 ]
Zhang, Si-Yang [1 ]
Huang, Wen-Hu [1 ]
机构：
[1] Deep Space Exploration Research Center, Harbin Institute of Technology, Harbin
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2015年 / 34卷 / 05期
关键词：
Cascaded bistable stochastic resonance; Fault diagnosis; Gear; Local mean decomposition;
D O I：
10.13465/j.cnki.jvs.2015.05.017
中图分类号：
学科分类号：
摘要：
Aiming at the difficulty of extracting the weak signal in gear fault diagnosis, a method for gear fault diagnosis based on cascaded bistable stochastic resonance(CBSR) denoising and local mean decomposition(LMD) was proposed. The technique of stochastic resonance can remove noise in signals effectively and make use of noise to strengthen the weak fault feature; LMD can decompose a complicated signal into several stationary PF (product function) components with reality meanings, so it is very suitable to analyze the multi-component amplitude-modulated and frequency-modulated signals. Here, the CBSR was employed in the pretreatment to remove noise in vibration signals, the denoised signal was decomposed with LMD, and then the fault frequency of gear was found by inspecting the amplitude spectra of PF components. The engineering application of the method in fault diagnosis of gear wear demonstrated that it can extract the weak feature of gear fault effectively and realize the early gear fault diagnosis. ©, 2015, Chinese Vibration Engineering Society. All right reserved.
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页码：95 / 101
页数：6
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