# Design of MEMS Microphone Array Integrated System for Pipeline Leakage Detection

## TL;DR

This paper introduces a new MEMS microphone array system for detecting pipeline leaks with high accuracy and reliability.

## Contribution

The novel MEMS-MAIS system integrates data fusion techniques to enhance leak detection in pipelines.

## Key findings

- The MEMS-MAIS system achieved 94.67% leakage detection accuracy.
- The system demonstrates strong anti-interference performance in complex environments.
- Feature and decision-level fusion modules improve detection reliability.

## Abstract

Pressure pipelines are widely used in the energy and transportation fields for conveying natural gas, water, etc. Under complex and harsh conditions with long-term operation, this easily leads to leakage, threatening the safe and stable operation of transportation systems. Although acoustic sensors support non-destructive leakage detection, their accuracy is restricted by noise interference and minor leakage uncertainties, and existing systems lack a targeted integration design for pipeline scenarios. To address this, the micro-electromechanical system (MEMS) is specifically designed as an MEMS microphone array integrated system (MEMS-MAIS), which is applied for pipeline leakage detection through data fusion at different levels. First, a dedicated MEMS microphone array system is designed to realize high-sensitivity collection of leakage acoustic data. In addition, the integrated feature extraction and feature-level fusion modules are proposed to retain effective information, and a decision-level fusion module is incorporated to improve the reliability of leakage detection results. To verify the designed system, an experiential platform is established with several microphone data. The results indicate that the proposed MEMS-MAIS exhibits excellent anti-interference performance and leakage detection accuracy of 94.67%. It provides a reliable integrated system solution for pipeline leakage detection and verifying high engineering application value.