Paper
20 August 1999 Time-scale analysis adapted for bearing diagnostics
Brian T. Holm-Hansen, Robert X. Gao
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian T. Holm-Hansen and Robert X. Gao "Time-scale analysis adapted for bearing diagnostics", Proc. SPIE 3833, Intelligent Systems in Design and Manufacturing II, (20 August 1999); https://doi.org/10.1117/12.359515
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Wavelets

Diagnostics

Fourier transforms

Signal analyzers

Discrete wavelet transforms

Electronic filtering

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