Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis

Vibration signals of rotating machinery often contain many closely located frequency components. While Fast Fourier Transform (FFT) analysis of the signals can identify exact frequency components in the vibration spectrum easily, conventional wavelet analysis is generally incapable of discriminating...

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Main Authors: Abdelrhman, Ahmed M., Leong, M. Salman, Hee, Lim Meng, Al-Obaidi, Salah M. Ali
Format: Article
Published: Springer Heidelberg 2015
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Online Access:http://eprints.utm.my/id/eprint/59465/
http://dx.doi.org/10.1007/978-3-319-09507-3_50
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spelling my.utm.594652021-08-02T14:33:17Z http://eprints.utm.my/id/eprint/59465/ Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis Abdelrhman, Ahmed M. Leong, M. Salman Hee, Lim Meng Al-Obaidi, Salah M. Ali T Technology (General) Vibration signals of rotating machinery often contain many closely located frequency components. While Fast Fourier Transform (FFT) analysis of the signals can identify exact frequency components in the vibration spectrum easily, conventional wavelet analysis is generally incapable of discriminating closely located frequency components in vibration signals due to overlapping and interference appearing in wavelet results. Wavelet transforms based on wavelet reassignment algorithm to improve time-frequency resolution display is presented in this chapter. The proposed reassigned (modified) Morlet wavelet was tested using simulated signal and experimental data obtained from a multi-stage blades rotor test rig. This study showed that this method was capable of segregating close BPF components which were otherwise lumped together in conventional wavelet analysis display. The reassigned Morlet wavelet analysis was shown to be useful for multi stage blade rubbing diagnosis as well as other general condition monitoring applications such as those for gear and bearing faults diagnosis. Springer Heidelberg 2015 Article PeerReviewed Abdelrhman, Ahmed M. and Leong, M. Salman and Hee, Lim Meng and Al-Obaidi, Salah M. Ali (2015) Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis. Lecture Notes in Mechanical Engineering, 19 . pp. 581-590. ISSN 2195-4356 http://dx.doi.org/10.1007/978-3-319-09507-3_50
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 (General)
spellingShingle T Technology (General)
Abdelrhman, Ahmed M.
Leong, M. Salman
Hee, Lim Meng
Al-Obaidi, Salah M. Ali
Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis
description Vibration signals of rotating machinery often contain many closely located frequency components. While Fast Fourier Transform (FFT) analysis of the signals can identify exact frequency components in the vibration spectrum easily, conventional wavelet analysis is generally incapable of discriminating closely located frequency components in vibration signals due to overlapping and interference appearing in wavelet results. Wavelet transforms based on wavelet reassignment algorithm to improve time-frequency resolution display is presented in this chapter. The proposed reassigned (modified) Morlet wavelet was tested using simulated signal and experimental data obtained from a multi-stage blades rotor test rig. This study showed that this method was capable of segregating close BPF components which were otherwise lumped together in conventional wavelet analysis display. The reassigned Morlet wavelet analysis was shown to be useful for multi stage blade rubbing diagnosis as well as other general condition monitoring applications such as those for gear and bearing faults diagnosis.
format Article
author Abdelrhman, Ahmed M.
Leong, M. Salman
Hee, Lim Meng
Al-Obaidi, Salah M. Ali
author_facet Abdelrhman, Ahmed M.
Leong, M. Salman
Hee, Lim Meng
Al-Obaidi, Salah M. Ali
author_sort Abdelrhman, Ahmed M.
title Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis
title_short Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis
title_full Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis
title_fullStr Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis
title_full_unstemmed Segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis
title_sort segregation of close frequency components based on reassigned wavelet analysis for machinery fault diagnosis
publisher Springer Heidelberg
publishDate 2015
url http://eprints.utm.my/id/eprint/59465/
http://dx.doi.org/10.1007/978-3-319-09507-3_50
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