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Piezoelectric Active Sensing-Based Pipeline Corrosion Monitoring Using Singular Spectrum Analysis.

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  • 1Key Laboratory for Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.

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Summary
This summary is machine-generated.

This study introduces a new method for detecting internal pipeline corrosion using piezoelectric sensors and singular spectrum analysis. The technique effectively assesses corrosion depth by analyzing signal features, enhancing industrial safety.

Keywords:
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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Non-Destructive Testing

Background:

  • Internal pipeline corrosion is a critical safety concern in industrial operations.
  • Existing methods for corrosion detection may have limitations in accuracy or accessibility.

Purpose of the Study:

  • To propose and validate a novel method for detecting internal pipeline corrosion.
  • To establish a reliable feature for assessing corrosion depth using piezoelectric sensors.

Main Methods:

  • Utilizing two piezoelectric patches (actuator and sensor) on the pipeline exterior.
  • Applying singular spectrum analysis (SSA) for signal denoising and feature extraction.
  • Calculating the envelope area of selected wave packets as a corrosion indicator.

Main Results:

  • The envelope area of wave packets, after SSA, serves as an effective feature for corrosion detection.
  • A monotonic relationship was observed between the calculated index and pipeline corrosion depth.
  • Experimental validation confirmed the method's efficacy in corrosion monitoring.

Conclusions:

  • The proposed piezoelectric sensor and SSA-based method offers an effective approach for internal pipeline corrosion monitoring.
  • This technique provides a quantifiable measure of corrosion depth, crucial for maintaining pipeline integrity.
  • The method enhances safety and operational reliability in industrial pipeline transportation.