Leak detection in pipelines using ensemble empirical mode decomposition

This thesis is discusses the techniques of leak detection in pipe system by using “Ensemble Empirical Mode Decomposition” method (EEMD). Effective leak detection is important to prevent leaks in pipes, particularly involving irrigation and drainage industry. Delay in detecting leaks can result an ec...

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Main Author:	Mohd Firdhaus, Ahmad
Format:	Undergraduates Project Papers
Language:	English
Published:	2013
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/8315/ http://umpir.ump.edu.my/id/eprint/8315/ http://umpir.ump.edu.my/id/eprint/8315/1/cd8220_87.pdf

id	ump-8315
recordtype	eprints
spelling	ump-83152015-11-16T08:10:28Z http://umpir.ump.edu.my/id/eprint/8315/ Leak detection in pipelines using ensemble empirical mode decomposition Mohd Firdhaus, Ahmad TA Engineering (General). Civil engineering (General) This thesis is discusses the techniques of leak detection in pipe system by using “Ensemble Empirical Mode Decomposition” method (EEMD). Effective leak detection is important to prevent leaks in pipes, particularly involving irrigation and drainage industry. Delay in detecting leaks can result an economic losses and environmental damage. In this study, water is used as the main medium and MDPE and GI was used. Wave propagation will be analyzed in the EEMD and the results of the analysis in the pipe with and without leakage will be compared. To detect the signal wave in the pipe, strain gauge pressure transducer and piezoelectric sensor was used. Transient signal that triggered by an automatic solenoid valve was used as a reference of the presence of a leak in the wave signal data in a particular period. The results of the analysis were successfully demonstrated by the presence of a leak in the pipe MDPE and GI in certain period and for a particular sample size. From the results, it can be concluded that the GI pipes is easier to analyzed compared to MDPE pipe. This is because the speed of wave in GI pipes is higher and had more superficial wave propagation. 2013-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8315/1/cd8220_87.pdf Mohd Firdhaus, Ahmad (2013) Leak detection in pipelines using ensemble empirical mode decomposition. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:81940&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Mohd Firdhaus, Ahmad Leak detection in pipelines using ensemble empirical mode decomposition
description	This thesis is discusses the techniques of leak detection in pipe system by using “Ensemble Empirical Mode Decomposition” method (EEMD). Effective leak detection is important to prevent leaks in pipes, particularly involving irrigation and drainage industry. Delay in detecting leaks can result an economic losses and environmental damage. In this study, water is used as the main medium and MDPE and GI was used. Wave propagation will be analyzed in the EEMD and the results of the analysis in the pipe with and without leakage will be compared. To detect the signal wave in the pipe, strain gauge pressure transducer and piezoelectric sensor was used. Transient signal that triggered by an automatic solenoid valve was used as a reference of the presence of a leak in the wave signal data in a particular period. The results of the analysis were successfully demonstrated by the presence of a leak in the pipe MDPE and GI in certain period and for a particular sample size. From the results, it can be concluded that the GI pipes is easier to analyzed compared to MDPE pipe. This is because the speed of wave in GI pipes is higher and had more superficial wave propagation.
format	Undergraduates Project Papers
author	Mohd Firdhaus, Ahmad
author_facet	Mohd Firdhaus, Ahmad
author_sort	Mohd Firdhaus, Ahmad
title	Leak detection in pipelines using ensemble empirical mode decomposition
title_short	Leak detection in pipelines using ensemble empirical mode decomposition
title_full	Leak detection in pipelines using ensemble empirical mode decomposition
title_fullStr	Leak detection in pipelines using ensemble empirical mode decomposition
title_full_unstemmed	Leak detection in pipelines using ensemble empirical mode decomposition
title_sort	leak detection in pipelines using ensemble empirical mode decomposition
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/8315/ http://umpir.ump.edu.my/id/eprint/8315/ http://umpir.ump.edu.my/id/eprint/8315/1/cd8220_87.pdf
first_indexed	2023-09-18T22:05:45Z
last_indexed	2023-09-18T22:05:45Z
_version_	1777414696167538688

Leak detection in pipelines using ensemble empirical mode decomposition

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