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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Format: | Article |
Language: | English |
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Wiley
1996-01-01
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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. |
format | Article |
id | doaj-art-2cda82fcb83b4729a27bbfdd43bc5c8f |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 1996-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
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 |