Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study

Leak detection become crucial part in water management services due to strenuous work in identification of leak location for pipeline networks. This paper focused on leak identification and localization using Teiger-Kaiser Energy Operator (TKEO) as instantaneous frequency analysis (IFA) while Empiri...

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Main Authors: Mohd Aminuddin, Pi Remli, M. F., Ghazali, W. H., Azmi, Mohd Fadhlan, Mohd Yusof, Hanafi, M. Yusop, M. L., Azmi
Format: Conference or Workshop Item
Language:English
English
Published: IOP Publishing 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/24245/
http://umpir.ump.edu.my/id/eprint/24245/
http://umpir.ump.edu.my/id/eprint/24245/1/36.4%20Leak%20localization%20using%20empirical%20mode%20decomposition.pdf
http://umpir.ump.edu.my/id/eprint/24245/2/36.44%20Leak%20localization%20using%20empirical%20mode%20decomposition.pdf
id ump-24245
recordtype eprints
spelling ump-242452019-08-05T00:27:47Z http://umpir.ump.edu.my/id/eprint/24245/ Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study Mohd Aminuddin, Pi Remli M. F., Ghazali W. H., Azmi Mohd Fadhlan, Mohd Yusof Hanafi, M. Yusop M. L., Azmi TJ Mechanical engineering and machinery Leak detection become crucial part in water management services due to strenuous work in identification of leak location for pipeline networks. This paper focused on leak identification and localization using Teiger-Kaiser Energy Operator (TKEO) as instantaneous frequency analysis (IFA) while Empirical Mode Decomposition (EMD) as decomposition method with implementation of Integrated Kurtosis Algorithm for Z-Filter (Ikaz) to Kurtosis ratio as the automatic selection criterion for intrinsic mode function (IMF). Test rig construct inside laboratory as testing site using 67.90-metre Medium Density Polyethylene (MDPE) pipe In order to create an artificial leak, pinhole is drill at 19.75-metre distance from point of analysis that is fire hydrant attached with pressure sensor. Experiment conduct by using two variation of pressure that are 2bar and 4bar. As the result, with percentage of error less than 6%, combination of TKEO as IFA and efficiency of Ikaz performed well in locating the position of leak and outlet of pipeline system. IOP Publishing 2019-01 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24245/1/36.4%20Leak%20localization%20using%20empirical%20mode%20decomposition.pdf pdf en http://umpir.ump.edu.my/id/eprint/24245/2/36.44%20Leak%20localization%20using%20empirical%20mode%20decomposition.pdf Mohd Aminuddin, Pi Remli and M. F., Ghazali and W. H., Azmi and Mohd Fadhlan, Mohd Yusof and Hanafi, M. Yusop and M. L., Azmi (2019) Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study. In: 1st International Postgraduate Conference on Mechanical Engineering, IPCME 2018, 31 October 2018 , Universiti Malaysia Pahang, Pekan, Pahang. pp. 1-10., 469 (1). ISSN 1757-8981 https://iopscience.iop.org/article/10.1088/1757-899X/469/1/012093/pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohd Aminuddin, Pi Remli
M. F., Ghazali
W. H., Azmi
Mohd Fadhlan, Mohd Yusof
Hanafi, M. Yusop
M. L., Azmi
Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study
description Leak detection become crucial part in water management services due to strenuous work in identification of leak location for pipeline networks. This paper focused on leak identification and localization using Teiger-Kaiser Energy Operator (TKEO) as instantaneous frequency analysis (IFA) while Empirical Mode Decomposition (EMD) as decomposition method with implementation of Integrated Kurtosis Algorithm for Z-Filter (Ikaz) to Kurtosis ratio as the automatic selection criterion for intrinsic mode function (IMF). Test rig construct inside laboratory as testing site using 67.90-metre Medium Density Polyethylene (MDPE) pipe In order to create an artificial leak, pinhole is drill at 19.75-metre distance from point of analysis that is fire hydrant attached with pressure sensor. Experiment conduct by using two variation of pressure that are 2bar and 4bar. As the result, with percentage of error less than 6%, combination of TKEO as IFA and efficiency of Ikaz performed well in locating the position of leak and outlet of pipeline system.
format Conference or Workshop Item
author Mohd Aminuddin, Pi Remli
M. F., Ghazali
W. H., Azmi
Mohd Fadhlan, Mohd Yusof
Hanafi, M. Yusop
M. L., Azmi
author_facet Mohd Aminuddin, Pi Remli
M. F., Ghazali
W. H., Azmi
Mohd Fadhlan, Mohd Yusof
Hanafi, M. Yusop
M. L., Azmi
author_sort Mohd Aminuddin, Pi Remli
title Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study
title_short Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study
title_full Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study
title_fullStr Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study
title_full_unstemmed Leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study
title_sort leak localization using empirical mode decomposition and teager-kaiser energy operator analysis based on pressure transient signal: experimental study
publisher IOP Publishing
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/24245/
http://umpir.ump.edu.my/id/eprint/24245/
http://umpir.ump.edu.my/id/eprint/24245/1/36.4%20Leak%20localization%20using%20empirical%20mode%20decomposition.pdf
http://umpir.ump.edu.my/id/eprint/24245/2/36.44%20Leak%20localization%20using%20empirical%20mode%20decomposition.pdf
first_indexed 2023-09-18T22:36:34Z
last_indexed 2023-09-18T22:36:34Z
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