UMP Institutional Repository

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

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

[img] Pdf
36.4 Leak localization using empirical mode decomposition.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[img]
Preview
Pdf
36.44 Leak localization using empirical mode decomposition.pdf

Download (219kB) | Preview

Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by SCOPUS & WOS
Uncontrolled Keywords: Signal processing; Decomposition methods; Water management; Polyethylenes; Pipeline networks
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 05 Aug 2019 00:27
Last Modified: 05 Aug 2019 00:27
URI: http://umpir.ump.edu.my/id/eprint/24245
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item