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Proceedings Paper

Condition monitoring of rolling-element bearings by using cone-kernel time-frequency distribution
Author(s): Wenyi Wang; Michael J. Harrap
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Paper Abstract

A method for condition monitoring of rolling element bearings is proposed in this paper. Timefrequency analysis using a cone kernel distribution applied to the envelope signal of the bearing vibration has shown an advantage over the high frequency resonance technique. In particular it is proven to be effective for multi-fault and ball fault detection of ball bearings. A comparison of the diagnostic ability of two other timefrequency distributions (spectrogram and distribution) is also presented.

Paper Details

Date Published: 22 September 1993
PDF: 9 pages
Proc. SPIE 2101, Measurement Technology and Intelligent Instruments, (22 September 1993); doi: 10.1117/12.156451
Show Author Affiliations
Wenyi Wang, Univ. College/UNSW (Australia)
Michael J. Harrap, Univ. College/UNSW (Australia)

Published in SPIE Proceedings Vol. 2101:
Measurement Technology and Intelligent Instruments
Li Zhu, Editor(s)

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