Study on Method of Fault Diagnose for New Roller Overrunning Clutch

Fault diagnose of the roller overrunning clutch is a headache problem in engineering at home and abroad. This paper introduces a new method to solve the problem by using the wavelet transform to separate fault signal and further analyzing the impact frequency. The signal local singularities under the wavelet transform are studied. According to the propagation features of modulus maximums of the fault signal and the noise under the wavelet transform different on the scales, and by use of the signal wavelet decomposition reconstruction algorithm, the clutch shell vibration acceleration signal is decomposed, denoised, and reconstructed. The signal-to-noise of the monitored signal improved greatly. The fault characteristic signal on time domain is positioned. The fault characteristic frequency is picked up. Experiment shows that it is quite effective.