Bearing Fault Diagnosis Using Shifted Wavelet Filters
نویسندگان
چکیده
Vibration signals resulting from rolling element bearing defects, present a rich content of physical information, the appropriate analysis of which can lead to the clear identification of the nature of the fault. This paper proposes a method for processing of signals resulting from rolling element bearing defects, based on the use of a shifted wavelet filter family. Using a time-frequency representation of the signal, the method is designed in a way that can exploit the underlying physical concepts of the modulation mechanism, present in the vibration response of bearings with localized defects. Systematic selection criteria for the choice of the critical parameters that characterize the wavelet family are used. Experimental results and industrial measurements for different types of bearing faults confirm the validity of the overall approach. Key-Words: Wavelet, Wavelet packet, Vibration, Bearing, Fault Diagnosis
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