Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6956737 | Mechanical Systems and Signal Processing | 2012 | 25 Pages |
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
Authors
Guangming Dong, Jin Chen,