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Irregularity detection in artificial signal using time-frequency analysis

A typical time signal contain overwhelming amounts of data and some of the signal components represent for irregularity such as crack and leak which greatly important to be identified precisely instead of using traditional method. The strategy can be done using signal processing method through h...

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Main Authors: Hamat, A. Malik, M. F., Ghazali, Amin, Makeen, Fatihah, Adnan
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/20742/1/Irregularity%20detection%20in%20artificial%20signal%20using%20time-fkm-2016.pdf
http://umpir.ump.edu.my/id/eprint/20742/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3850.pdf
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spelling my.ump.umpir.207422018-08-06T04:51:50Z http://umpir.ump.edu.my/id/eprint/20742/ Irregularity detection in artificial signal using time-frequency analysis Hamat, A. Malik M. F., Ghazali Amin, Makeen Fatihah, Adnan TJ Mechanical engineering and machinery A typical time signal contain overwhelming amounts of data and some of the signal components represent for irregularity such as crack and leak which greatly important to be identified precisely instead of using traditional method. The strategy can be done using signal processing method through high-quality time-frequency representation (TFR) for analysing such time dependent signals to accurately discover these superposition signal components. A few popular TFR methods such as wavelet transform analysis and relatively new, synchrosqueezed wavelet transform were applied in current study using artificial signal. From the result, both methods successfully discover an irregularity in the signal with different degree of accuracy and it is shown that synchrosqueezed wavelet transform provide the best and detailed time-frequency representation. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20742/1/Irregularity%20detection%20in%20artificial%20signal%20using%20time-fkm-2016.pdf Hamat, A. Malik and M. F., Ghazali and Amin, Makeen and Fatihah, Adnan (2016) Irregularity detection in artificial signal using time-frequency analysis. ARPN Journal of Engineering and Applied Sciences, 11 (6). pp. 3593-3597. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3850.pdf
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Hamat, A. Malik
M. F., Ghazali
Amin, Makeen
Fatihah, Adnan
Irregularity detection in artificial signal using time-frequency analysis
description A typical time signal contain overwhelming amounts of data and some of the signal components represent for irregularity such as crack and leak which greatly important to be identified precisely instead of using traditional method. The strategy can be done using signal processing method through high-quality time-frequency representation (TFR) for analysing such time dependent signals to accurately discover these superposition signal components. A few popular TFR methods such as wavelet transform analysis and relatively new, synchrosqueezed wavelet transform were applied in current study using artificial signal. From the result, both methods successfully discover an irregularity in the signal with different degree of accuracy and it is shown that synchrosqueezed wavelet transform provide the best and detailed time-frequency representation.
format Article
author Hamat, A. Malik
M. F., Ghazali
Amin, Makeen
Fatihah, Adnan
author_facet Hamat, A. Malik
M. F., Ghazali
Amin, Makeen
Fatihah, Adnan
author_sort Hamat, A. Malik
title Irregularity detection in artificial signal using time-frequency analysis
title_short Irregularity detection in artificial signal using time-frequency analysis
title_full Irregularity detection in artificial signal using time-frequency analysis
title_fullStr Irregularity detection in artificial signal using time-frequency analysis
title_full_unstemmed Irregularity detection in artificial signal using time-frequency analysis
title_sort irregularity detection in artificial signal using time-frequency analysis
publisher Asian Research Publishing Network (ARPN)
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/20742/1/Irregularity%20detection%20in%20artificial%20signal%20using%20time-fkm-2016.pdf
http://umpir.ump.edu.my/id/eprint/20742/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3850.pdf
_version_ 1643668955509817344
score 13.211869

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