Architecture for Online Prognostics for Pumps and Valves in Nuclear Power Plants



Yang-seok Kim Byoung-oh Lee Ji-ho Min Dae-woong Kim and Chi-yong Park


The health of the safety-related equipment in a nuclear power plant is crucial to safe and reliable operation of the plant. To achieve this, a number of monitoring systems have been equipped and strict guidelines and procedures applied. Recently, several real-time diagnostics and predictive diagnostic concepts have been proposed. This paper presents an architecture for online prognostics to monitor, diagnose and prognose feed water pumps and pneumatic control valves in nuclear power plants. We describe the architecture from the following points: system design and process. Diagnostic method with positioner model for a double-acting pneumatic control valve is also presented. A pilot system, developed based on the proposed architecture and diagnostic method, is applied to the pneumatic control valve in a nuclear power plant. The result shows that the proposed architecture can be applied to online and real-time diagnostics and prognostics.

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Chen, C., Brown, D., Sconyers, C., Zhang, B., Vachtsevanos, G., and Orchard, M.E. (2012). An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems, Expert Systems with Applications, vol. 39, pp. 9031-9040. doi: 10.1016/j.eswa.2012.02.050.
Efthymiou, K., Papakostas, N., Mourtzis, D., and Chryssolouris. G. (2012). On a predictive maintenance platform for production systems, 45th CIRP Conference on Manufacturing Systems 2012, pp. 221-226. doi:
Kunche, S., Chen, C., and Pecht, M. (2012). A review of PHM System's architectural frameworks, The 54th Meeting of the Society for Machinery Failure Prevention Technology, 24-26 April, Dayton, OH.
Muller, A., Marquez, A.C., and Iung, B. (2008). On the concept of e-maintenance: review and current research, Reliability Engineering and System Safety, vol. 93, pp. 1165-1187. doi: 10.1016/j.ress.2007.08.006.
Yang, B.S., & Tran, V.T. (2012). An intelligent conditionbased maintenance platform for rotating machinery, Expert Systems with Applications, vol. 39, pp. 2977-2988. doi: 10.1016/j.eswa.2011.08.159.
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