When leakage occurs from a high pressure enclosure, the jet formed can produce fierce turbulent flow generating acoustic emission with possible phase change, depending on the pressure of the enclosure, and a significant temperature drop in the region close to the releasing point. Acoustic Emission (AE) and infrared imaging technologiesare promising methods for on-line monitoring of such accidental leakage. In this paper, leakage experiments were carried out with a container under well controlled conditions in a laboratory. Acoustic signals and temperature distribution at the leakage area were acquired using an acoustic sensor and an infraredthermalimaging camera. The acoustic signal was analyzed in both time and frequency domains. The characteristics of the signal frequencies areidentified, and their suitability for leakage detectionis investigated. The location of the leakage can be identified by seeking the lowest temperature area or point in the infrared image.
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11 April 2014
8TH INTERNATIONAL SYMPOSIUM ON MEASUREMENT TECHNIQUES FOR MULTIPHASE FLOWS
13–15 December 2013
Guangzhou, P.R. China
Research Article|
April 11 2014
leak detection through acoustic sensing and infrared imaging
Xiwang Cui;
Xiwang Cui
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206,
China
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Yong Yan;
Yong Yan
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, P. R. China and School of Engineering and Digital Arts, University of Kent, Canterbury, Kent CT2 7NT,
United Kingdom
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Lin Ma;
Lin Ma
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, P. R. China Faculty of Engineering, University of Leeds, Leeds LS2 9JT,
United Kingdom
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Yifan Ma;
Yifan Ma
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206,
China
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Xiaojuan Han
Xiaojuan Han
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206,
China
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AIP Conf. Proc. 1592, 295–301 (2014)
Citation
Xiwang Cui, Yong Yan, Lin Ma, Yifan Ma, Xiaojuan Han; leak detection through acoustic sensing and infrared imaging. AIP Conf. Proc. 11 April 2014; 1592 (1): 295–301. https://doi.org/10.1063/1.4872118
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