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Water Pipeline Leak Measurement Using Wavelet Packet-based Adaptive ICA

Author

Listed:
  • Mohanaprasad Kothandaraman

    (VIT University, Tamil Nadu)

  • Zijian Law

    (Universiti Tunku Abdul Rahman, Sungai Long Campus)

  • Morris A. G. Ezra

    (Universiti Tunku Abdul Rahman, Sungai Long Campus)

  • Chang Hong Pua

    (Universiti Tunku Abdul Rahman, Sungai Long Campus)

  • Uma Rajasekaran

    (VIT University, Tamil Nadu)

Abstract

The localization of the leaks is estimated using the time difference method in the past decade. Generalized and Basic Cross-correlation techniques are frequently applied to estimate the time difference between leak signals. The acoustic or vibration sensors detect the vibration of the leak. The pipe’s convolved impulse response and external disturbances can corrupt the leak signal. It is challenging to detect a leak from the corrupted signal using conventional cross-correlational methods. The proposed method has implemented a novel wavelet packet adaptive ICA (Independent Component Analysis) based leak detection method to eliminate the leak signals’ convolved impulse response and external disturbances. The proposed method uses an Acousto-optic sensor to localize the leaks in the water pipelines. The wavelet packet decomposition allows more flexibility and dimensionality reduction in leak signals. The adaptive ICA separates the signal generated by a leak from the pipe’s impulse response along with the external disturbances. Investigation of the proposed technique verified using an experimental setup for leak detection at UTAR (Universiti Tunku Abdul Rahman) University, Sungai Long Campus, Malaysia. The results proclaim that the wavelet packet adaptive ICA works better than other recent techniques, with an accuracy of 95%-99%.

Suggested Citation

  • Mohanaprasad Kothandaraman & Zijian Law & Morris A. G. Ezra & Chang Hong Pua & Uma Rajasekaran, 2022. "Water Pipeline Leak Measurement Using Wavelet Packet-based Adaptive ICA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 1973-1989, April.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:6:d:10.1007_s11269-022-03119-y
    DOI: 10.1007/s11269-022-03119-y
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    References listed on IDEAS

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    1. Sang Hyun Kim, 2018. "Development of Multiple Leakage Detection Method for a Reservoir Pipeline Valve System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2099-2112, April.
    2. Aditya Gupta & K. D. Kulat, 2018. "A Selective Literature Review on Leak Management Techniques for Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3247-3269, August.
    3. Juan Li & Ying Wu & Wenjun Zheng & Changgang Lu, 2021. "A Model-Based Bayesian Framework for Pipeline Leakage Enumeration and Location Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4381-4397, October.
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    Cited by:

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