Application of Cascaded Bistable Stochastic Resonance and Hermite Interpolation Local Mean Decomposition Method in Gear Fault Diagnosis

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (5) : 95-101.

Based on the difficulty of extracting the weak signal in gear fault diagnosis, the method of gear fault diagnosis based on cascaded bistable stochastic resonance（CBSR）denoising and local mean decomposition（LMD）was studied . Stochastic resonance can remove noise in the signals effectively and make use of noise to strengthen the weak fault feature ;The complicated signal can be decomposed into several stationary PF (product function) components with reality meanings by LMD, so it is very suitable to analyze the multi-component amplitude-modulated and frequency-modulated signal. First CBSR was employed as the pretreatment to remove noise in vibration signals and then the denoised signal was decomposed by LMD, the fault frequency of gear was found through the amplitude spectrums of the PF components. Through the engineering application of the fault diagnosis on gear wear demonstrated that this method can extracting the weak feature of gear fault effectively and realize the early gear fault diagnosis.

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Based on the difficulty of extracting the weak signal in gear fault diagnosis, the method of gear fault diagnosis based on cascaded bistable stochastic resonance（CBSR）denoising and local mean decomposition（LMD）was studied . Stochastic resonance can remove noise in the signals effectively and make use of noise to strengthen the weak fault feature ;The complicated signal can be decomposed into several stationary PF (product function) components with reality meanings by LMD, so it is very suitable to analyze the multi-component amplitude-modulated and frequency-modulated signal. First CBSR was employed as the pretreatment to remove noise in vibration signals and then the denoised signal was decomposed by LMD, the fault frequency of gear was found through the amplitude spectrums of the PF components. Through the engineering application of the fault diagnosis on gear wear demonstrated that this method can extracting the weak feature of gear fault effectively and realize the early gear fault diagnosis.

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Li Yong-bo,Xu Min-qiang,Zhao Hai-yang,Zhang Si-yang,Huang Wen-hu. Application of Cascaded Bistable Stochastic Resonance and Hermite Interpolation Local Mean Decomposition Method in Gear Fault Diagnosis[J]. Journal of Vibration and Shock, 2015, 34(5): 95-101

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