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Development of a Diagnostic Algorithm with Acoustic Emission Sensors and Neural networks for Check Valves

Seong, Seung-Hwan    (Korea Atomic Energy Research Institute   ); Kim, Jung-Soo    (Korea Atomic Energy Research Institute   ); Hur, Seop    (Korea Atomic Energy Research Institute   ); Kim, Jung-Tak    (Korea Atomic Energy Research Institute   ); Park, Won-Man    (Korea Atomic Energy Research Institute  );
  • 초록

    Check valve failure is one of the worst problems in nuclear power plants. Recently, many researches have been based on new technology using accelerometers and ultrasonic and magnetic flux detection have been carried out. Here, we have suggested a method that uses acoustic emission sensors for detecting the failures of check valves through measuring and analyzing backward leakage flow, a system that works without disassembling the check valve. For validating the suggested acoustic emission sensor methodology, we designed a hydraulic test loop with a check valve. We have assumed in this study that check valve failure is caused by disk wear or by the insertion of a foreign object. In addition, we have developed diagnostic algorithms by using a neural network model to identify the type and size of the failure in the check valve. Our results show that the proposed diagnostic algorithm with acoustic emission sensors is a good solution for identifying check valve failure without necessitating any disassembly work.


  • 주제어

    check valve .   diagnostic .   neural network .   acoustic emission sensor.  

  • 참고문헌 (11)

    1. H.D. Haynes, 'Aging and Service Wear of Check Valves Used in Engineering SafetyFeature Systems of Nuclear Power Plants,' NUREG/CR-4302, Vol. 1, 'Operating Experience and Failure Identification', Oak Ridge, TN, April (1991) 
    2. J.I. Braverman, et. a!., 'Assessment of AgeRelated Degradation of Structure and Passive Components for US Nuclear Power Plant, 'NUREG/CR-6679, BNL-NUREG52587, NRC, August (2000) 
    3. M.S. Kalsi at aI, 'Prediction of Check Valve Performance and Degradation in Nuclear Power Plant Systems - Wear and Impact Tests,' NUREG/CR-5583, US NRC, Washington DC, (1990) 
    4. B.P. Brooks, 'Application Guidelines for Check Valves in Nuclear Power Plant Systems,' EPRI NP-5479, EPRI, Palo Alto, CA, (1988) 
    5. W.M. Suslick, H.F. Parker and B.A. Mcdermott, 'Acoustic Emission Monitoring of Check Valve Performance,' Proceedings of the EPRI Power Plant Valves Symposium, Charlotte, NC, October 11-12, (1988) 
    6. H.D. Haynes, 'Evaluation of Check Valve Monitoring Methods,' Proceedings of the 17th Water Reactor Safety Meeting, October 23-25, Rockville, MD, (1989) 
    7. M.K. Yang, 'Acoustic and Ultrasonic Signals as Diagnostic Tools for Check Valves,' J. of Reactor Vessel Technology, Vol. 115, pp135-141, May, (1993) 
    8. C. Sim, H. Choi and H.K Baik, 'The Development of a Non-Intrusive Test of Check Valve Using Acoustic and Magnets,' J. of Acoustic Society of Korea, Vol. 16 No. 1E, (1997) 
    9. R.E. Uhrig and L.H. Tsoukalas, 'Application of Neural Networks', EPRI/TR-I03443-P1-2, Knoxville, TN, January (1994) 
    10. A.V. Oppenheim and R.W. Schafer, Digital Signal Processing, Prentice Hall Inc., NJ, (1998) 
    11. J.M. Zurada, Artificial Neural Systems, West Publishing Co. (1992) 

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  • 허섭 (3)

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