Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)

In recent studies, the analysis of pressure transient signal can be seen as an accurate and low-cost method for the leak and feature detection in water distribution system. This paper applied Hilbert-Huang Transform (HHT) as a method to analyse the pressure transient signal. HHT is a way to decompos...

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Main Authors:	Hanafi, M. Yusop, M. F., Ghazali, Mohd Fadhlan, Mohd Yusof, Wan Sofian, Wan Hamat
Format:	Article
Language:	English
Published:	UiTM Press 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/21759/ http://umpir.ump.edu.my/id/eprint/21759/ http://umpir.ump.edu.my/id/eprint/21759/1/Development%20of%20intelligent%20leak%20detection%20system%20based%20on%20artificial%20pressure%20transient%20signal.pdf

id	ump-21759
recordtype	eprints
spelling	ump-217592018-09-19T03:29:02Z http://umpir.ump.edu.my/id/eprint/21759/ Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz) Hanafi, M. Yusop M. F., Ghazali Mohd Fadhlan, Mohd Yusof Wan Sofian, Wan Hamat TJ Mechanical engineering and machinery In recent studies, the analysis of pressure transient signal can be seen as an accurate and low-cost method for the leak and feature detection in water distribution system. This paper applied Hilbert-Huang Transform (HHT) as a method to analyse the pressure transient signal. HHT is a way to decompose a signal into intrinsic mode function (IMF). However, this method has the difficulty in selecting the suitable IMF for the next data post-processing method which is Hilbert Transform (HT). To develop intelligent leak detection system through Hilbert-Huang Transform (HHT) analysis, the selection for IMF must be automated and self-decision making process through the system. The current paper presented the implementation of Integrated Kurtosis-based Algorithm for z-filter Technique (I-Kaz) to kurtosis ratio (I-Kaz-Kurtosis) for the purpose of self-decision method in selecting IMF with the correct IMF selecting criterion. This work demonstrated artificial sine signal constructed using Matlab software in order to identify the effectiveness and accuracy of this method. Meanwhile, a random signal was also generated to test the efficiency of I-Kaz-kurtosis ratio. The analysis results using I-Kaz-kurtosis ratio revealed that the method was suggested to be used as self-decision method to select the right IMF. The performance of I-Kaz-kurtosis ratio was also tested using random signal and this method revealed positive results. Meanwhile, the efficiency of I-Kaz-kurtosis ratio was compared to kurtosis coefficient, and this method revealed better result from kurtosis coefficient. Therefore, I-Kaz-kurtosis ratio is recommended and advised to be implemented as self-decision method for selecting the IMF through HHT analysis and intelligent leak detection system can be developed. UiTM Press 2017-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21759/1/Development%20of%20intelligent%20leak%20detection%20system%20based%20on%20artificial%20pressure%20transient%20signal.pdf Hanafi, M. Yusop and M. F., Ghazali and Mohd Fadhlan, Mohd Yusof and Wan Sofian, Wan Hamat (2017) Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz). Journal of Mechanical Engineering, 4 (4). pp. 84-102. ISSN 1823-5514 (Print); 2550-164X (Online) http://jmeche.com/wp-content/uploads/bsk-pdf-manager/7_Vol_4_4_T6_09_223.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 Hanafi, M. Yusop M. F., Ghazali Mohd Fadhlan, Mohd Yusof Wan Sofian, Wan Hamat Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)
description	In recent studies, the analysis of pressure transient signal can be seen as an accurate and low-cost method for the leak and feature detection in water distribution system. This paper applied Hilbert-Huang Transform (HHT) as a method to analyse the pressure transient signal. HHT is a way to decompose a signal into intrinsic mode function (IMF). However, this method has the difficulty in selecting the suitable IMF for the next data post-processing method which is Hilbert Transform (HT). To develop intelligent leak detection system through Hilbert-Huang Transform (HHT) analysis, the selection for IMF must be automated and self-decision making process through the system. The current paper presented the implementation of Integrated Kurtosis-based Algorithm for z-filter Technique (I-Kaz) to kurtosis ratio (I-Kaz-Kurtosis) for the purpose of self-decision method in selecting IMF with the correct IMF selecting criterion. This work demonstrated artificial sine signal constructed using Matlab software in order to identify the effectiveness and accuracy of this method. Meanwhile, a random signal was also generated to test the efficiency of I-Kaz-kurtosis ratio. The analysis results using I-Kaz-kurtosis ratio revealed that the method was suggested to be used as self-decision method to select the right IMF. The performance of I-Kaz-kurtosis ratio was also tested using random signal and this method revealed positive results. Meanwhile, the efficiency of I-Kaz-kurtosis ratio was compared to kurtosis coefficient, and this method revealed better result from kurtosis coefficient. Therefore, I-Kaz-kurtosis ratio is recommended and advised to be implemented as self-decision method for selecting the IMF through HHT analysis and intelligent leak detection system can be developed.
format	Article
author	Hanafi, M. Yusop M. F., Ghazali Mohd Fadhlan, Mohd Yusof Wan Sofian, Wan Hamat
author_facet	Hanafi, M. Yusop M. F., Ghazali Mohd Fadhlan, Mohd Yusof Wan Sofian, Wan Hamat
author_sort	Hanafi, M. Yusop
title	Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)
title_short	Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)
title_full	Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)
title_fullStr	Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)
title_full_unstemmed	Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)
title_sort	development of intelligent leak detection system based on artificial pressure transient signal using integrated kurtosis-based algorithm for z-filter technique (i-kaz)
publisher	UiTM Press
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/21759/ http://umpir.ump.edu.my/id/eprint/21759/ http://umpir.ump.edu.my/id/eprint/21759/1/Development%20of%20intelligent%20leak%20detection%20system%20based%20on%20artificial%20pressure%20transient%20signal.pdf
first_indexed	2023-09-18T22:32:04Z
last_indexed	2023-09-18T22:32:04Z
_version_	1777416351747407872

Development of intelligent leak detection system based on artificial pressure transient signal using integrated Kurtosis-based Algorithm for Z-filter Technique (I-Kaz)

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