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Multi-Leakage Source Localization of Safety Valve Based on Uniform Circular AE Array and Improved MUSIC Algorithm
Jianjun Hou1,2, Shuxun Li1,2, Lingxia Yang1,2
1School of Petrochemical Technology, Lanzhou University of Technology, Lanzhou 730050, China.
This study introduces an improved acoustic emission detection and Multiple Signal Classification (MUSIC) algorithm to precisely locate multiple safety valve leakage sources. The method enhances accuracy by reducing noise and interference, ensuring safer operation of pressure-bearing equipment.
Area of Science:
- Mechanical Engineering
- Acoustics
- Signal Processing
Background:
- Safety valves are critical for pressure-relief systems, but leaks cause material loss and safety hazards.
- Accurate localization of multiple leakage sources in safety valves is a significant challenge.
Purpose of the Study:
- To develop and validate a novel method for accurately locating multiple leakage sources in safety valves.
- To improve the precision and reliability of safety valve diagnostic systems.
Main Methods:
- Utilized a uniform circular array for acoustic emission detection.
- Implemented an improved Multiple Signal Classification (MUSIC) algorithm incorporating wavelet denoising and forward/backward spatial smoothing.
- Employed windowed Fast Fourier Transform (FFT) for narrowband signal acquisition.
Main Results:
- The improved MUSIC algorithm achieved high accuracy in locating multiple leakage sources.
- Positioning deviations for azimuth and elevation angles were within 2° at various working pressures (0.70-0.80 MPa).
- Relative errors in localization did not exceed 3.5%, demonstrating the algorithm's effectiveness.
Conclusions:
- The developed acoustic emission-based method with the improved MUSIC algorithm accurately identifies multiple safety valve leakage sources.
- Positioning accuracy increases with the working pressure of the safety valve.
- This technique offers a promising solution for enhancing the safety and efficiency of pressure-bearing equipment.
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