Article ID Journal Published Year Pages File Type
6956737 Mechanical Systems and Signal Processing 2012 25 Pages PDF
Abstract
To quantitatively describe the extent of bearing fault, Renyi information encoded in the time frequency diagram of CSWVS is studied. It is shown to be a more sensitive index to reflect bearing performance degradation, compared with the spectral entropy (SE), squared envelope spectrum entropy (SESE) and Renyi informations for WVD, PWVD, especially when SNR is low.
Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
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