Irregularity Detection In Numerical 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 high-...

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Main Authors:	A., Malik Hamat, M. F., Ghazali, Makeen, Mohd Amin, 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/15432/ http://umpir.ump.edu.my/id/eprint/15432/ http://umpir.ump.edu.my/id/eprint/15432/1/fkm-2016-fairusham-Irregularity%20Detection%20In%20Numerical%20Signal1.pdf

id	oai:umpir.ump.edu.my:15432
recordtype	eprints
spelling	oai:umpir.ump.edu.my:154322017-08-23T04:15:08Z http://umpir.ump.edu.my/id/eprint/15432/ Irregularity Detection In Numerical Signal Using Time-Frequency Analysis A., Malik Hamat M. F., Ghazali Makeen, Mohd Amin 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 timefrequency representation. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15432/1/fkm-2016-fairusham-Irregularity%20Detection%20In%20Numerical%20Signal1.pdf A., Malik Hamat and M. F., Ghazali and Makeen, Mohd Amin and Fatihah, Adnan (2016) Irregularity Detection In Numerical 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 A., Malik Hamat M. F., Ghazali Makeen, Mohd Amin Fatihah, Adnan Irregularity Detection In Numerical 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 timefrequency representation.
format	Article
author	A., Malik Hamat M. F., Ghazali Makeen, Mohd Amin Fatihah, Adnan
author_facet	A., Malik Hamat M. F., Ghazali Makeen, Mohd Amin Fatihah, Adnan
author_sort	A., Malik Hamat
title	Irregularity Detection In Numerical Signal Using Time-Frequency Analysis
title_short	Irregularity Detection In Numerical Signal Using Time-Frequency Analysis
title_full	Irregularity Detection In Numerical Signal Using Time-Frequency Analysis
title_fullStr	Irregularity Detection In Numerical Signal Using Time-Frequency Analysis
title_full_unstemmed	Irregularity Detection In Numerical Signal Using Time-Frequency Analysis
title_sort	irregularity detection in numerical signal using time-frequency analysis
publisher	Asian Research Publishing Network (ARPN)
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/15432/ http://umpir.ump.edu.my/id/eprint/15432/ http://umpir.ump.edu.my/id/eprint/15432/1/fkm-2016-fairusham-Irregularity%20Detection%20In%20Numerical%20Signal1.pdf
first_indexed	2018-09-07T02:02:52Z
last_indexed	2018-09-07T02:02:52Z
_version_	1610912390245777408

Irregularity Detection In Numerical Signal Using Time-Frequency Analysis

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