UMP Institutional Repository

Leakage Detection in Galvanized Iron Pipelines using Ensemble Empirical Mode Decomposition Analysis

Makeen, Mohd Amin and M. F., Ghazali (2015) Leakage Detection in Galvanized Iron Pipelines using Ensemble Empirical Mode Decomposition Analysis. In: AIP Conference Proceedings: International Conference on Mathematics, Engineering and Industrial Applications (ICoMEIA 2014), 28-30 May 2014 , Penang, Malaysia. pp. 1-5., 1660 (070003). ISBN 978-0-7354-1304-7

[img] PDF
Leakage detection in galvanized iron pipelines using ensemble empirical mode decomposition analysis.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[img]
Preview
PDF
Leakage detection in galvanized iron1.pdf

Download (162kB) | Preview

Abstract

There are many numbers of possible approaches to detect leaks. Some leaks are simply noticeable when the liquids or water appears on the surface. However many leaks do not find their way to the surface and the existence has to be check by analysis of fluid flow in the pipeline. The first step is to determine the approximate position of leak. This can be done by isolate the sections of the mains in turn and noting which section causes a drop in the flow. Next approach is by using sensor to locate leaks. This approach are involves strain gauge pressure transducers and piezoelectric sensor. the occurrence of leaks and know its exact location in the pipeline by using specific method which are Acoustic leak detection method and transient method. The objective is to utilize the signal processing technique in order to analyse leaking in the pipeline. With this, an EEMD method will be applied as the analysis method to collect and analyse the data.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Waves propagation; transient signal; ensemble emperical mode decomposition
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 22 Jun 2015 08:05
Last Modified: 23 Aug 2017 04:20
URI: http://umpir.ump.edu.my/id/eprint/9273
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item