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Proceedings Paper

Time-scale analysis adapted for bearing diagnostics
Author(s): Brian T. Holm-Hansen; Robert X. Gao
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Paper Abstract

The detection of structural defects in a ball bearing using an embedded piezoceramic load sensor and the discrete wavelet transform is presented. A model to predict the output of the embedded sensor was developed and experimentally verified. A mother wavelet was developed specifically for analyzing the response of the bearing and embedded load sensor. This wavelet was found to produce a more descriptive decomposition of the sensor signal than a standard Daubechies wavelet. Furthermore, the relationship between a bearing misalignment and the resulting load variation was established.

Paper Details

Date Published: 20 August 1999
PDF: 8 pages
Proc. SPIE 3833, Intelligent Systems in Design and Manufacturing II, (20 August 1999); doi: 10.1117/12.359515
Show Author Affiliations
Brian T. Holm-Hansen, Univ. of Massachusetts/Amherst (United States)
Robert X. Gao, Univ. of Massachusetts/Amherst (United States)

Published in SPIE Proceedings Vol. 3833:
Intelligent Systems in Design and Manufacturing II
Bhaskaran Gopalakrishnan; San Murugesan, Editor(s)

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