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http://dx.doi.org/10.9708/jksci.2020.25.02.059

Pipe Leak Detection System using Wireless Acoustic Sensor Module and Deep Auto-Encoder  

Yeo, Doyeob (Electronics and Telecommunications Research Institute (ETRI))
Lee, Giyoung (Electronics and Telecommunications Research Institute (ETRI))
Lee, Jae-Cheol (Korea Atomic Energy Research Institute (KAERI))
Publication Information
Journal of the Korea Society of Computer and Information / v.25, no.2, 2020 , pp. 59-66 More about this Journal
Abstract
In this paper, we propose a pipe leak detection system through data collection using low-power wireless acoustic sensor modules and data analysis using deep auto-encoder. Based on the Fourier transform, we propose a low-power wireless acoustic sensor module that reduces data traffic by reducing the amount of acoustic sensor data to about 1/800, and we design the system that is robust to noise generated in the audible frequency band using only 20kHz~100kHz frequency signals. In addition, the proposed system is designed using a deep auto-encoder to accurately detect pipe leaks even with a reduced amount of data. Numerical experiments show that the proposed pipe leak detection system has a high accuracy of 99.94% and Type-II error of 0% even in the environment where high frequency band noise is mixed.
Keywords
Wireless; Ultrasonic wave; Low-power; Deep auto-encoder; Pipe leak detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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