Pipeline Fault Identification using Synchrosqueezed Wavelet Transform based on Pressure Transient Analysis

Authors

  • Muhammad Aminuddin Pi Remli Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Mohd Fairusham Ghazali Center for Research in Advanced Fluid and Process, Universiti Malaysia Pahang, Lebuhraya Tun Razak, Gambang, Kuantan 26300, Pahang, Malaysia
  • Mohd Fadhlan Mohd Yusof Advanced Structural Integrity and Vibration Research (ASIVR), Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Muhammad Hanafi Yusop Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Sit Kian Wai Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Sufian Sidek WYETH Water Consultation, PT7199(G), Jalan BBN 1/2G Putra Nilai 71800 Nilai, Negeri Sembilan, Malaysia
  • Gholamhassan Najafi Mechanical of Biosystems Engineering Department, Tarbiat Modares University, Tehran, Iran

DOI:

https://doi.org/10.37934/arfmts.96.2.158171

Keywords:

Pressure transient, leak, non-revenue water, signal reflections, wavelet transform

Abstract

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%.

Author Biographies

Muhammad Aminuddin Pi Remli, Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

aminuddin.piremli@gmail.com

Mohd Fairusham Ghazali, Center for Research in Advanced Fluid and Process, Universiti Malaysia Pahang, Lebuhraya Tun Razak, Gambang, Kuantan 26300, Pahang, Malaysia

fairusham@ump.edu.my

Mohd Fadhlan Mohd Yusof, Advanced Structural Integrity and Vibration Research (ASIVR), Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

fadhlan@ump.edu.my

Muhammad Hanafi Yusop, Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

m.hanafiyusop@yahoo.com.my

Sit Kian Wai, Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

kianwai97@gmail.com

Sufian Sidek, WYETH Water Consultation, PT7199(G), Jalan BBN 1/2G Putra Nilai 71800 Nilai, Negeri Sembilan, Malaysia

sufian.sidek@wyethwater.com

Gholamhassan Najafi, Mechanical of Biosystems Engineering Department, Tarbiat Modares University, Tehran, Iran

g.najafi@modares.ac.ir

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Published

2022-06-21

How to Cite

Muhammad Aminuddin Pi Remli, Mohd Fairusham Ghazali, Mohd Fadhlan Mohd Yusof, Muhammad Hanafi Yusop, Sit Kian Wai, Sufian Sidek, & 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), 158–171. https://doi.org/10.37934/arfmts.96.2.158171

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Articles