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．
孙云嵩 于德介 陈向民 李蓉. 基于信号共振稀疏分解的阶比分析及其在齿轮故障诊断中的应用[J]. , 2013, 32(16): 88-94.
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 . , 2013, 32(16): 88-94.
2013, Vol. 32 
