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/ http://umpir.ump.edu.my/id/eprint/20742/ http://umpir.ump.edu.my/id/eprint/20742/1/Irregularity%20detection%20in%20artificial%20signal%20using%20time-fkm-2016.pdf

id	ump-20742
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/20742/ http://umpir.ump.edu.my/id/eprint/20742/1/Irregularity%20detection%20in%20artificial%20signal%20using%20time-fkm-2016.pdf
first_indexed	2023-09-18T22:30:05Z
last_indexed	2023-09-18T22:30:05Z
_version_	1777416227708207104

Irregularity detection in artificial signal using time-frequency analysis

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