Abstract

In traditional sensory array-based acoustic emission methods that are used for gas leakage localization, the localization resolution depends on the spatial aperture of the array, that is, the number of sensors. Most of the existing methods use small arrays that can only achieve low-resolution localization results because of limitations such as the amplitude and phase consistency, the complexity and cost of the system. This paper reports the first application of a virtual phased array for gas leakage detection to obtain high-resolution localization results. This method uses a virtual linear ultrasonic sensor array composed of only two sensors to acquire leakage signals. Then, we use the virtual beamforming algorithm based on the cross-power spectrum to estimate the location of the leakage source. Several experiments were conducted to evaluate the effectiveness and operability of the proposed method. The impacts of various factors on the performance of the localization technique are compared and discussed, including factors such as the number of sensors and the distance between the leak hole and virtual array. The results demonstrate that the proposed method accurately and reliably localizes gas leakages.

Highlights

  • Gas leakage, which leads to serious environmental damage and industrial hazards, is of great importance in the industrial field, with leakage sources including pressure vessels, pipes and tanks [1,2,3].establishing a method for the quick detection and accurate localization of leakage sources has become a challenge that demands an urgent solution

  • The effect of the virtual ultrasonic sensor array technology on the actual gas leakage location is discussed

  • The signals received by the virtual ultrasonic sensor array are proved to belong to a time-stationary sound field, so the virtual beamforming algorithm can be used to estimate the direction of the leakage source

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Summary

A Gas Leakage Localization Method Based on a Virtual Ultrasonic Sensor Array

Lei Li 1 , Kuan Yang 1 , Xiaoyu Bian 1 , Qinghui Liu 1 , Yizhuo Yang 2 and Fengying Ma 1, *. Glasgow College, University of Electronic Science and Technology of China, Chengdu 610000 , China

Introduction
Signal Model
Signal Preprocessing
Principle of the Location Algorithm
Experiments
Characteristics of Acoustic Emission Leakage Signals
Interference Analysis of the Algorithm
Results and Discussion
Conclusions
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