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Fault Severity Identification of Rolling Bearing Based on Multiscale Entropy


Article Information

Title: Fault Severity Identification of Rolling Bearing Based on Multiscale Entropy

Authors: Xiong Guoliang, Huang Wenyi, Zhang Long

Journal: Journal of Applied Sciences

HEC Recognition History
No recognition records found.

Publisher: Asian Network for Scientific Information (ANSInet)

Country: Pakistan

Year: 2013

Volume: 13

Issue: 13

Language: English

DOI: 10.3923/jas.2013.2404.2408

Categories

Abstract

CBM Condition based maintenance is an effective approach
to reduce the fault rate and thus avoid the occurrence of serious failure. Quantitative
identification of bearing fault severity is the basis of CBM for bearings. The
vibration signals will exhibit nonstationarity and nonlinearity in the presence
of bearing faults. Taking into account the mean value and the variations of
the entropies over multiple scales, a new index termed Partial Mean of Multiscale
Entropy PMME is constructed to quantitatively describes bearing fault severity.
Experimental results verify that the new index is able to detect incipient bearing
fault in a timely fashion and can trend the fault development well.


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