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Updated: Aug 10, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
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Pipeline Leakage Detection Based on Secondary Phase Transform Cross-Correlation.

Hetao Liang1, Yan Gao2, Haibin Li1

  • 1Huaneng Hunan Yueyang Power Generation Co., Ltd., Yueyang 414002, China.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
Summary

This study introduces an improved acoustic method for detecting pipeline leaks. The new technique enhances noise suppression and accurately estimates time delays for better pipeline integrity maintenance.

Keywords:
acoustic emissioncross-correlationleak detectionphase transformtime delay estimation

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Area of Science:

  • Engineering
  • Acoustics
  • Signal Processing

Background:

  • Pipeline leaks pose significant reputational and socioeconomic challenges.
  • Maintaining pipeline integrity is crucial for industrial operations.
  • Existing acoustic methods for leak detection require performance enhancement.

Purpose of the Study:

  • To present a novel secondary phase transform (PHAT) cross-correlation method for improved pipeline leakage detection.
  • To enhance the performance of acoustic methods in identifying and locating pipe leaks.
  • To address the limitations of basic cross-correlation techniques in noisy environments.

Main Methods:

  • Acoustic emission signals from potential pipe leaks are captured by sensors.
  • A secondary phase transform (PHAT) cross-correlation function is calculated.
  • Sinc interpolation is employed for automatic peak value searching in the cross-correlation curve.
  • Time delay estimation (TDE) is performed using the enhanced cross-correlation analysis.

Main Results:

  • The proposed PHAT cross-correlation method demonstrates superior noise suppression capabilities.
  • Accurate time delay estimation (TDE) for leak localization is achieved.
  • Numerical simulations and experimental results validate the method's effectiveness.
  • Performance improvements are noted compared to the basic cross-correlation method.

Conclusions:

  • The developed PHAT cross-correlation method offers a significant improvement for acoustic pipeline leak detection.
  • The technique enhances accuracy and robustness in challenging industrial environments.
  • This method can be beneficial for effective pipeline integrity management and maintenance.