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Advanced Wigner Method for Fault Detection and Diagnosis System

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Modeling, Simulation and Optimization of Complex Processes

Abstract

An advanced Wigner method for time-frequency analysis based on the Wigner distribution and short-time Fourier transformation (STFT) methods is used to examine the acoustic emission signals detected during the operation of pipelines in the power plants. The acoustic emission signals, which depend on the behavior of materials deforming under stress, will be changed when pipelines crack or leak. Based on the unusual characteristics of the signals in frequency domain and some features in time domain, cracking or leaking problems can be detected. Our proposed method, a combination of advanced Wigner distribution and Wavelet transformation methods, is proposed for a fault detection and diagnosis system in the power plants. The results of our proposed method are compared with the advanced Wigner distribution and STFT methods.

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References

  1. P. M. Franch, T. Martin, D. L. Tunnucliffe and D. K. Das-Gupta, PTCa/PEKK Piezo-composites for Acoustic Emission Detection, Sensor and Actuators, A, Vol. 99, pp. 235-243, 2002.

    Google Scholar 

  2. G. Strang, T. Nguyen, Wavelet and Filter Banks, 1996.

    Google Scholar 

  3. L. Cohen, Time-Frequency Analysis, 1995.

    Google Scholar 

  4. M. Norton, D. Karczub, Fundamental of Noise and Vibration Analysis for Engineers, 2003.

    Google Scholar 

  5. L. Stankovic, A Method for Time-Frequency Analysis. IEEE transaction on signal processing, Vol. 42, No. 1, 1, 1994.

    Article  MathSciNet  Google Scholar 

  6. M. Vetterli, J. Kovacevic, Wavelet and Subband Coding, 1995.

    Google Scholar 

  7. Y. Tian, P. L. Lewin, A. E. Davies, Z. Richardson, Acoustic Emission Detection of Partial Discharges in Polymeric insulation, High Voltage Engineering, 1999. Eleventh International Symposium on (Conf. Publ. No. 467).

    Google Scholar 

  8. Samchang Enterprise Co. LTD, User Manual for Acoustic Leak Monitoring System, July 1, 2002.

    Google Scholar 

  9. K. Groechenigs, Foundations of Time Frequency Analysis, 2001.

    Google Scholar 

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© 2008 Springer-Verlag Berlin Heidelberg

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Van Tuan, D., Cho, S.J., Chong, U.P. (2008). Advanced Wigner Method for Fault Detection and Diagnosis System. In: Bock, H.G., Kostina, E., Phu, H.X., Rannacher, R. (eds) Modeling, Simulation and Optimization of Complex Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79409-7_44

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