Multi-Scale Hermitian Wavelet Order Envelope Spectrum Based Bearing Fault Detection and Diagnosis
نویسنده
چکیده
The multi-scale Hermitian wavelet order envelope spectrum based bearing fault detection and diagnosis method under run-up condition is presented in this paper. This new approach based on the fusion of the computed order tracking, Hermitian wavelet transform and envelope spectrum is used for detection defects in roller element bearings. Firstly, Non-stationary vibration signal under run-up condition is sampled using a constant time increment. Then the non-stationary vibration signal under run-up condition is re-sampled at a constant angle increment. The non-stationary vibration signal in time domain is transformed into stationary one in angle domain. Thirdly, the Hermitian wavelet transform is applied to the angle domain re-sampled signal and the multi-scale order envelope spectrum is calculated. The Hermitian wavelet transform enables one to look at the evolution in the time scale joint representation plane. The procedure is illustrated with the experimental vibration data of a gearbox under run-up condition. The experimental results show that multi-scale Hermitian wavelet order envelope spectrum can extract the bearing fault feature from strong noise signals and can effectively diagnose the bearing inner or outer faults.
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