Leak Detection in Gas Pipeline using Hilbert-Huang Transform

This paper proposes a leak detection method using acoustic. The Hamming chirp signal injected into the pipeline system and the estimation of the leak location from the delay time passing by the reflection in the pipeline if there is a leak. By using Hilbert-Huang Transform (HHT), it can give a usefu...

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Main Authors: N. F., Adnan, M. F., Ghazali, Makeen, Mohd Amin, A. M. A., Hamat
Format: Article
Language:English
Published: Trans Tech Publications 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14575/
http://umpir.ump.edu.my/id/eprint/14575/
http://umpir.ump.edu.my/id/eprint/14575/
http://umpir.ump.edu.my/id/eprint/14575/6/fkm-2015-adnan-Leak%20detection%20in%20gas%20pipeline%20using%20hilbert0001.pdf
id ump-14575
recordtype eprints
spelling ump-145752018-01-12T02:12:15Z http://umpir.ump.edu.my/id/eprint/14575/ Leak Detection in Gas Pipeline using Hilbert-Huang Transform N. F., Adnan M. F., Ghazali Makeen, Mohd Amin A. M. A., Hamat TJ Mechanical engineering and machinery This paper proposes a leak detection method using acoustic. The Hamming chirp signal injected into the pipeline system and the estimation of the leak location from the delay time passing by the reflection in the pipeline if there is a leak. By using Hilbert-Huang Transform (HHT), it can give a useful signal to verify the leak. HHT transforms Empirical Mode Decomposition (EMD)and Hilbert Spectrum analysis to perform time-frequency analysis. The leak location can be detected by multiplying by the speed of sound. This simple method gives accurate leak location and easy to implement. Trans Tech Publications 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14575/6/fkm-2015-adnan-Leak%20detection%20in%20gas%20pipeline%20using%20hilbert0001.pdf N. F., Adnan and M. F., Ghazali and Makeen, Mohd Amin and A. M. A., Hamat (2015) Leak Detection in Gas Pipeline using Hilbert-Huang Transform. Applied Mechanics and Materials, 815. pp. 403-407. ISSN 1662-7482 https://www.scientific.net/AMM.815.403 doi: 10.4028/www.scientific.net/AMM.815.403
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
N. F., Adnan
M. F., Ghazali
Makeen, Mohd Amin
A. M. A., Hamat
Leak Detection in Gas Pipeline using Hilbert-Huang Transform
description This paper proposes a leak detection method using acoustic. The Hamming chirp signal injected into the pipeline system and the estimation of the leak location from the delay time passing by the reflection in the pipeline if there is a leak. By using Hilbert-Huang Transform (HHT), it can give a useful signal to verify the leak. HHT transforms Empirical Mode Decomposition (EMD)and Hilbert Spectrum analysis to perform time-frequency analysis. The leak location can be detected by multiplying by the speed of sound. This simple method gives accurate leak location and easy to implement.
format Article
author N. F., Adnan
M. F., Ghazali
Makeen, Mohd Amin
A. M. A., Hamat
author_facet N. F., Adnan
M. F., Ghazali
Makeen, Mohd Amin
A. M. A., Hamat
author_sort N. F., Adnan
title Leak Detection in Gas Pipeline using Hilbert-Huang Transform
title_short Leak Detection in Gas Pipeline using Hilbert-Huang Transform
title_full Leak Detection in Gas Pipeline using Hilbert-Huang Transform
title_fullStr Leak Detection in Gas Pipeline using Hilbert-Huang Transform
title_full_unstemmed Leak Detection in Gas Pipeline using Hilbert-Huang Transform
title_sort leak detection in gas pipeline using hilbert-huang transform
publisher Trans Tech Publications
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/14575/
http://umpir.ump.edu.my/id/eprint/14575/
http://umpir.ump.edu.my/id/eprint/14575/
http://umpir.ump.edu.my/id/eprint/14575/6/fkm-2015-adnan-Leak%20detection%20in%20gas%20pipeline%20using%20hilbert0001.pdf
first_indexed 2023-09-18T22:18:29Z
last_indexed 2023-09-18T22:18:29Z
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