The Order Domain Analysis Method Based on Resonance-based Sparse Signal Decomposition and Its Application to Gear Fault Diagnosis

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Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (16) : 88-94.

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The Order Domain Analysis Method Based on Resonance-based Sparse Signal Decomposition and Its Application to Gear Fault Diagnosis

SUN Yunsong YU Dejie CHEN Xiangmin LI Rong

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Abstract

An order domain analysis method based on resonance-based sparse signal decomposition is proposed to extract the fault characteristic frequency from the vibration signal of a fault gearbox with rotating speed fluctuation. The resonance-based sparse signal decomposition method decompose signal into two parts ,which are the ‘high-resonance’ component and ‘low-resonance’ component. The ‘low-resonance’ component is the impact signal consisting of non-oscillatory transients of unspeciﬁed shape and duration. The chirplet path pursuit algorithm is used to obtain the rotation speed signal of the gearbox. According to the rotation speed signal，the time domain impact signal of the gearbox is resampled at constant angle increments．After the spectral analysis on the resampled impact signal was carried out ,the order domain analysis method based on resonance-based sparse signal decomposition is accomplished and the final diagnosed results can be obtained. The proposed approach has good anti-noise ability ,and is suitable for analyzing the actual vibration signal of a gearbox with rotating speed fluctuation．The practical application example proves the validity and superiority of the proposed method．

Key words

Resonance-based sparse signal decomposition / Chirplet / Fault diagnosis / Gears

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SUN Yunsong YU Dejie CHEN Xiangmin LI Rong. The Order Domain Analysis Method Based on Resonance-based Sparse Signal Decomposition and Its Application to Gear Fault Diagnosis [J]. Journal of Vibration and Shock, 2013, 32(16): 88-94