Acoustic Signal Acquisition and Analysis System Based on Digital Signal Processor

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Abstract:

Leak detection and calibration of pipe internal roughness in a water distribution network are significant issue for environment pollution around the world. In recent years the problem of leak detection in pipelines, tanks, and process vessels has been the focus of many man-hours of effort. Acquisition the acoustic signal around the leakage to determine the location and size of leaks is emerging as an important tool. A double acoustic data acquisition and signal processing system based on the TI digital signal processor TMS320VC5410 and analog to digital converter TLC320AD50C is presented in this paper. The system design is introduced, with emphasis on the digital signal processor minimal system and TMS320VC5410 interface circuit which consists of two chips of A/D TLC320AD50C. The software development of the data acquisition and signal analysis is introduced. The system can be used in the application of real-time acoustic signal acquisition and leak location.

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Periodical:

Advanced Materials Research (Volumes 518-523)

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1436-1441

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Online since:

May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. V. Fuchs, R. Riehle, Ten years of experience with leak detection by acoustic signal analysis, Applied Acoustic. 33 (1991) 1-19.

DOI: 10.1016/0003-682x(91)90062-j

Google Scholar

[2] A. Benkherouf, A.Y. Allidiba, Leak detection and location in gas pipelines, IEE Proceedings. 135 (1988) 142-148.

DOI: 10.1049/ip-d.1988.0020

Google Scholar

[3] J. Zhang, Designing a cost effective and reliable pipeline leak detection system, Pipeline Reliability Conference, Houston, USA , 11(1996), 1-11.

Google Scholar

[4] S.K. Mandal, T.S. Chan, M.K. Tiwari, Leak detection of pipeline: An integrated approach of rough set theory and artificial bee colony trained SVM, Expert System with application. 39 (2012) 3071-3080.

DOI: 10.1016/j.eswa.2011.08.170

Google Scholar

[5] A.F. Colombo, P. Lee, B. W. Karney, A selective literature review of transient-based leak detection methods, Journal of Hydro-environment research. 2 (2009) 212-227.

DOI: 10.1016/j.jher.2009.02.003

Google Scholar

[6] J.E. Hough, Leak testing of pipelines uses pressure and acoustic velocity, Oil and Gas Journal. 47 (1988) 35-41.

Google Scholar

[7] S.M. Kuo, B.H. Lee, Real-Time Digital Signal Processing-Implementation, Application and Experiments with the TMS320C55X, Wiley, New York, 2003.

Google Scholar

[8] L. Wanhammar, DSP Integrated Circuits, Academic Press, San Diego, 1999.

Google Scholar

[9] R. Chassaing, DSP Applications Using C and the TMS320C6x DSK, Wiley, New York, 2002.

DOI: 10.1002/0471221120

Google Scholar