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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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 |
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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 |
_version_ |
1777416635271872512 |