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Time-frequency signal analysis in machinery fault diagnosis: review

Growing demand of machines such as gas turbine, pump, and compressor in power generation, aircraft, and other fields have yielded the transformation of machine maintenance strategy from corrective and preventive to condition-based maintenance. Real-time fault diagnosis has grabbed attention of resea...

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Main Authors: Hui, K. H., Hee, Lim Meng, Leong, Mohd. Salman, Abdelrhman, Ahmed M.
Format: Article
Published: Trans Tech Publications 2014
Subjects:
T Technology
Online Access:http://eprints.utm.my/id/eprint/63090/
http://dx.doi.org/10.4028/www.scientific.net/AMR.845.41
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spelling my.utm.630902017-06-14T03:12:53Z http://eprints.utm.my/id/eprint/63090/ Time-frequency signal analysis in machinery fault diagnosis: review Hui, K. H. Hee, Lim Meng Leong, Mohd. Salman Abdelrhman, Ahmed M. T Technology Growing demand of machines such as gas turbine, pump, and compressor in power generation, aircraft, and other fields have yielded the transformation of machine maintenance strategy from corrective and preventive to condition-based maintenance. Real-time fault diagnosis has grabbed attention of researchers in looking for a better approach to overcome current limitation. The parameters of health condition in machinery could be monitored thus faults could be detected and diagnosed by using signal analysis approach. Since some fault signals are non-stationary or time dependent in nature, therefore time-frequency signal analysis is crucial for machinery fault diagnosis. Common time-frequency signal analysis methods are such as short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. This review provides a summary of the basic principle of signal analysis, the most recent researches, and some advantages and limitations associated to each types of time frequency signal analysis method. Trans Tech Publications 2014 Article PeerReviewed Hui, K. H. and Hee, Lim Meng and Leong, Mohd. Salman and Abdelrhman, Ahmed M. (2014) Time-frequency signal analysis in machinery fault diagnosis: review. Advanced Materials Research, 845 . pp. 41-45. ISSN 1022-6680 http://dx.doi.org/10.4028/www.scientific.net/AMR.845.41 DOI:10.4028/www.scientific.net/AMR.845.41
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology
spellingShingle T Technology
Hui, K. H.
Hee, Lim Meng
Leong, Mohd. Salman
Abdelrhman, Ahmed M.
Time-frequency signal analysis in machinery fault diagnosis: review
description Growing demand of machines such as gas turbine, pump, and compressor in power generation, aircraft, and other fields have yielded the transformation of machine maintenance strategy from corrective and preventive to condition-based maintenance. Real-time fault diagnosis has grabbed attention of researchers in looking for a better approach to overcome current limitation. The parameters of health condition in machinery could be monitored thus faults could be detected and diagnosed by using signal analysis approach. Since some fault signals are non-stationary or time dependent in nature, therefore time-frequency signal analysis is crucial for machinery fault diagnosis. Common time-frequency signal analysis methods are such as short time Fourier transform (STFT), wavelets analysis, empirical mode decomposition (EMD), Hilbert-Huang transform (HHT), etc. This review provides a summary of the basic principle of signal analysis, the most recent researches, and some advantages and limitations associated to each types of time frequency signal analysis method.
format Article
author Hui, K. H.
Hee, Lim Meng
Leong, Mohd. Salman
Abdelrhman, Ahmed M.
author_facet Hui, K. H.
Hee, Lim Meng
Leong, Mohd. Salman
Abdelrhman, Ahmed M.
author_sort Hui, K. H.
title Time-frequency signal analysis in machinery fault diagnosis: review
title_short Time-frequency signal analysis in machinery fault diagnosis: review
title_full Time-frequency signal analysis in machinery fault diagnosis: review
title_fullStr Time-frequency signal analysis in machinery fault diagnosis: review
title_full_unstemmed Time-frequency signal analysis in machinery fault diagnosis: review
title_sort time-frequency signal analysis in machinery fault diagnosis: review
publisher Trans Tech Publications
publishDate 2014
url http://eprints.utm.my/id/eprint/63090/
http://dx.doi.org/10.4028/www.scientific.net/AMR.845.41
_version_ 1643655615959007232
score 13.211869

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