A Study on Acoustic Signal Processing Technique for Detecting Small Leak of Piping System

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Published Jul 14, 2017
DOI https://doi.org/10.36001/phmap.2017.v1i1.1959
D.-B. Yoon
Nuclear Convergence Technology Development Division, Korea Atomic Energy Research Institute, 111, Daedeok-Daero 989 Beon-Gil, Yuseong-Gu, Daejeon, 34057, Korea
S.-S. Moon
Nuclear Convergence Technology Development Division, Korea Atomic Energy Research Institute, 111, Daedeok-Daero 989 Beon-Gil, Yuseong-Gu, Daejeon, 34057, Korea
B.-S. Yang
Nuclear Convergence Technology Development Division, Korea Atomic Energy Research Institute, 111, Daedeok-Daero 989 Beon-Gil, Yuseong-Gu, Daejeon, 34057, Korea

Abstract

The objective of this work is to develop a signal processing technique for detecting small leak of piping system in a noisy environment. For this purpose, as algorithms for enhancing the leak detection capability, a small leak detection algorithm were developed by using time-spatial characteristics of the measured acoustic signal. The leak detection capability of the developed algorithm is verified by experiments and numerical simulations. It is expected that the developed small leak detection algorithm can be utilized for leak detection of piping system of a power plant.

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Keywords

PHM

References
L. Billman et al., (1984) Leak Detection Methods for Pipelines. Proceeding of the 9th IFAC Congress, Hungary.
R. Iserman, (2011) Fault-Diagnosis Applications: Modelbased Condition Monitoring, Chapter 7, Springer.
H. V. Fuchs, (1991) Ten Years of Experience with Leak Detection by Acoustic Signal Analysis. Applied Acoustics, vol. 33, pp. 1-19.
J. S. Bendat and A. G. Piersol, (1986) Random Data, Wiley.
Issue
Vol. 1 No. 1 (2017): Proceedings of the Asia Pacific Conference of the PHM Society 2017
Section
Special Session Papers