Fault diagnosis method of gearbox based on intrinsic time-scale decomposition and fuzzy clustering

Key words:  intrinsic time-scale decomposition  fuzzy center-means clustering  gearbox  fault  diagnosis

Abstract:

Considering the non-linear and non-stationary characteristics of vibration signals of gearbox, a new method based on intrinsic time-scale decomposition (ITD) and fuzzy center-means clustering (FCM) was proposed in order to diagnose gearbox 's fault more accurately and effectively. Firstly, original vibration signals of gearbox were decomposed by ITD method. The first four proper rotation components (PRC) containing the main fault information were extracted and the PRC feature energy was calculated as fault feature vectors. Finally, faults of gearbox were identified by using FCM method. The results show that the diagnosis results of gearbox are totally in accordance with the actual situation in the application. The new method has high computation speed and accuracy compared with empirical mode decomposition (EMD), which provides a new efficient method for gearbox fault diagnosis.