Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis

The wavelet transform is introduced to indicate short-time fault effects in associated vibration signals. The time-frequency and time-scale representations are unified in a general form of a three-dimensional wavelet transform, from which two-dimensional transforms with different advantages are trea...

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Main Author: W.J. Wang
Format: Article
Language:English
Published: Wiley 1996-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.3233/SAV-1996-3104
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author W.J. Wang
author_facet W.J. Wang
author_sort W.J. Wang
collection DOAJ
description The wavelet transform is introduced to indicate short-time fault effects in associated vibration signals. The time-frequency and time-scale representations are unified in a general form of a three-dimensional wavelet transform, from which two-dimensional transforms with different advantages are treated as special cases derived by fixing either the scale or frequency variable. The Gaussian enveloped oscillating wavelet is recommended to extract different sizes of features from the signal. It is shown that the time-frequency and time-scale distributions generated by the wavelet transform are effective in identifying mechanical faults.
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spelling doaj-art-2cda82fcb83b4729a27bbfdd43bc5c8f2025-02-03T01:27:36ZengWileyShock and Vibration1070-96221875-92031996-01-0131172610.3233/SAV-1996-3104Wavelet Transform in Vibration Analysis for Mechanical Fault DiagnosisW.J. Wang0Department of Mechanical and Manufacturing Engineering, De Montfort University, Leicester LE1 9BH, England, UKThe wavelet transform is introduced to indicate short-time fault effects in associated vibration signals. The time-frequency and time-scale representations are unified in a general form of a three-dimensional wavelet transform, from which two-dimensional transforms with different advantages are treated as special cases derived by fixing either the scale or frequency variable. The Gaussian enveloped oscillating wavelet is recommended to extract different sizes of features from the signal. It is shown that the time-frequency and time-scale distributions generated by the wavelet transform are effective in identifying mechanical faults.http://dx.doi.org/10.3233/SAV-1996-3104
spellingShingle W.J. Wang
Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis
Shock and Vibration
title Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis
title_full Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis
title_fullStr Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis
title_full_unstemmed Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis
title_short Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis
title_sort wavelet transform in vibration analysis for mechanical fault diagnosis
url http://dx.doi.org/10.3233/SAV-1996-3104
work_keys_str_mv AT wjwang wavelettransforminvibrationanalysisformechanicalfaultdiagnosis