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Adaptive Phase Transform Method for Pipeline Leakage Detection.

Yifan Ma1,2, Yan Gao3, Xiwang Cui4

  • 1Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China. shanximayifan@163.com.

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Summary
This summary is machine-generated.

This study introduces an adaptive phase transform method for accurate pipeline leak detection. The new technique effectively tracks signal changes and improves robustness in low signal-to-noise conditions.

Keywords:
LMS adaptive algorithmphase spectrumpipeline leakage detectiontime delay estimation

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Area of Science:

  • Engineering
  • Signal Processing
  • Environmental Monitoring

Background:

  • Accurate time delay estimation (TDE) is crucial for pinpointing leaks in pipeline surveys.
  • Conventional TDE methods rely on pre-filtering and a priori noise spectra knowledge.
  • Existing methods struggle to adapt to dynamic changes in sensor signals.

Purpose of the Study:

  • To present an adaptive phase transform method for improved leak location determination.
  • To overcome the limitations of conventional TDE methods in tracking signal variations.
  • To offer a robust and adaptable alternative for pipeline leakage detection.

Main Methods:

  • Utilizing adaptive phase transform based on least mean square (LMS) algorithms.
  • Implementing the method for time delay estimation in leak noise correlation surveys.
  • Validating the approach through simulations on plastic water pipes and field tests on real networks.

Main Results:

  • The proposed adaptive method demonstrates greater robustness in low signal-to-noise ratio environments compared to conventional LMS.
  • Field tests on real networks confirm the effectiveness of the adaptive phase transform method.
  • Actual measured data analysis shows improved performance in pipeline leakage detection.

Conclusions:

  • The adaptive phase transform method offers a promising alternative to existing correlation-based leak detection techniques.
  • The method is simple to implement and capable of tracking signal changes in practical applications.
  • This approach enhances the accuracy and reliability of pipeline leak detection systems.