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Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis

Brand modern technology of leak detection by using pressure transient analysis has been developed and interested to research due to its advantages such as low cost, simplicity and convenient to use. This technology uses the concept of signal reflections which identify pipeline features. The method u...

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Main Authors: Pi Remli, M. A., Ghazali, M. F., Yusof, M. F.M., Yusop, Muhammad Hanafi, Wai, Sit Kian, Sidek, Sufian, Najafi, G.
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2022
Subjects:
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/36603/1/Pipeline%20Fault%20Identification%20using%20Synchrosqueezed%20Wavelet%20Transform.pdf
http://umpir.ump.edu.my/id/eprint/36603/
https://doi.org/10.37934/arfmts.96.2.158171
https://doi.org/10.37934/arfmts.96.2.158171
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spelling my.ump.umpir.366032023-01-05T00:45:11Z http://umpir.ump.edu.my/id/eprint/36603/ Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis Pi Remli, M. A. Ghazali, M. F. Yusof, M. F.M. Yusop, Muhammad Hanafi Wai, Sit Kian Sidek, Sufian Najafi, G. TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Brand modern technology of leak detection by using pressure transient analysis has been developed and interested to research due to its advantages such as low cost, simplicity and convenient to use. This technology uses the concept of signal reflections which identify pipeline features. The method used in this study was using a pressure transducer (piezoelectric pressure sensor) to obtain pressure transient respond generated by rapid opening and closing of solenoid valve. However, such reflections are very difficult to determine the pipe characteristic most probably because of excessive noise from other sources. Therefore, this paper proposed a method called Empirical Mode Decomposition (EMD) to decompose the reflection signal to its Intrinsic Mode Function (IMFs) and further analysis using continuous wavelet transform (CWT) to transform the signal into Time-Frequency domain and spectrum diagram. From the spectrum diagram, the characteristic of the pipe can be clearly display. From the finding results, it proves that this method not only useful for leak detection but also can determine the location of leak and its magnitude with error less than 10%. Semarak Ilmu Publishing 2022-06 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/36603/1/Pipeline%20Fault%20Identification%20using%20Synchrosqueezed%20Wavelet%20Transform.pdf Pi Remli, M. A. and Ghazali, M. F. and Yusof, M. F.M. and Yusop, Muhammad Hanafi and Wai, Sit Kian and Sidek, Sufian and Najafi, G. (2022) Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 96 (2). pp. 158-171. ISSN 2289 - 7879 https://doi.org/10.37934/arfmts.96.2.158171 https://doi.org/10.37934/arfmts.96.2.158171
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
spellingShingle TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Pi Remli, M. A.
Ghazali, M. F.
Yusof, M. F.M.
Yusop, Muhammad Hanafi
Wai, Sit Kian
Sidek, Sufian
Najafi, G.
Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis
description Brand modern technology of leak detection by using pressure transient analysis has been developed and interested to research due to its advantages such as low cost, simplicity and convenient to use. This technology uses the concept of signal reflections which identify pipeline features. The method used in this study was using a pressure transducer (piezoelectric pressure sensor) to obtain pressure transient respond generated by rapid opening and closing of solenoid valve. However, such reflections are very difficult to determine the pipe characteristic most probably because of excessive noise from other sources. Therefore, this paper proposed a method called Empirical Mode Decomposition (EMD) to decompose the reflection signal to its Intrinsic Mode Function (IMFs) and further analysis using continuous wavelet transform (CWT) to transform the signal into Time-Frequency domain and spectrum diagram. From the spectrum diagram, the characteristic of the pipe can be clearly display. From the finding results, it proves that this method not only useful for leak detection but also can determine the location of leak and its magnitude with error less than 10%.
format Article
author Pi Remli, M. A.
Ghazali, M. F.
Yusof, M. F.M.
Yusop, Muhammad Hanafi
Wai, Sit Kian
Sidek, Sufian
Najafi, G.
author_facet Pi Remli, M. A.
Ghazali, M. F.
Yusof, M. F.M.
Yusop, Muhammad Hanafi
Wai, Sit Kian
Sidek, Sufian
Najafi, G.
author_sort Pi Remli, M. A.
title Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis
title_short Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis
title_full Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis
title_fullStr Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis
title_full_unstemmed Pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis
title_sort pipeline fault identification using synchrosqueezed wavelet transform based on pressure transient analysis
publisher Semarak Ilmu Publishing
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/36603/1/Pipeline%20Fault%20Identification%20using%20Synchrosqueezed%20Wavelet%20Transform.pdf
http://umpir.ump.edu.my/id/eprint/36603/
https://doi.org/10.37934/arfmts.96.2.158171
https://doi.org/10.37934/arfmts.96.2.158171
_version_ 1754529731762454528
score 13.211869

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