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

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. (Published)

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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%.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Pressure transient; Leak; Non-revenue water; Signal reflections; Wavelet transform
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Institute of Postgraduate Studies
Faculty of Mechanical and Automotive Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 05 Jan 2023 00:45
Last Modified: 05 Jan 2023 00:45
URI: http://umpir.ump.edu.my/id/eprint/36603
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