Bearing Fault Diagnosis Based on Matched-Stable Stochastic Resonance
CHI Kuo1, KANG Jianshe1, ZHANG Xinghui1, YANG Zhiyuan1, ZHAO Fei1, 2
1.Shijiazhuang Branch, Army Engineering University of PLA, Shijiazhuang 050000, China; 2.School of Business Administration, Northeastern University, Shenyang 110819, China
Abstract：Bearing is one of the most widely used parts in rotating machinery. However, the bearing often fails because of the poor work environment such as high speed and heavy load, which results the equipment stops and even casualties. The fault-induced impulses are too weak to be detected. A novel matched-stable stochastic resonance (MSR) is proposed for bearing fault diagnosis. Unlike the traditional fixed-stable stochastic resonance like the bi-stable stochastic resonance, the potential structure and potential well number of the MSR are changed according to the complicated and diverse vibration signals, which is more benefit for the enhancement of the weak bearing fault-induced impulses. Through the bearing inner ring fault case and rolling element fault case, the proposed method is effective for bearing fault diagnosis and better than the traditional bi-stable stochastic resonance.
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