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. The envelope detection or demodulation methods have been established as the dominant analysis methods for this purpose, since they can separate the useful part of the signal from its redundant contents. This paper proposes an effective demodulation method, based on the use of a complex shifted Morlet wavelet family. The method is designed in a way that can fully exploit the underlying physical concepts of the modulation mechanism, present in the vibration response of faultybearings, using a time– frequencyrepresentation of the signal. A keyelement of the proposed method is the systematic introduction of selection criteria for the automated choice of the critical parameters that characterise the Morlet wavelet familyused. Experimental results and industrial measurements for two different types of bearing faults confirm the validity of the overall approach

PDF
No code implementations yet. Submit your code now

Tasks


Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here