[KSCI] Korea Science Citation Index Service

A Study on Feasibility Evaluation for Prognosis Systems based on an Empirical Model in Nuclear Power Plants

Lee, Soo Ill (Central Research Institute, Korea Hydro and Nuclear Power co., (KHNP))

Publication Information

International Journal of Safety / v.11, no.1, 2012 , pp. 26-32 More about this Journal

Abstract

This paper introduces a feasibility evaluation method for prognosis systems based on an empirical model in nuclear power plants. By exploiting the dynamical signature characterized by abnormal phenomena, the prognosis technique can be applied to detect the plant abnormal states prior to an unexpected plant trip. Early $operator^{\circ}{\emptyset}s$ awareness can extend available time for operation action; therefore, unexpected plant trip and time-consuming maintenance can be reduced. For the practical application in nuclear power plant, it is important not only to enhance the advantages of prognosis systems, but also to quantify the negative impact in prognosis, e.g., uncertainty. In order to apply these prognosis systems to real nuclear power plants, it is necessary to conduct a feasibility evaluation; the evaluation consists of 4 steps (: the development of an evaluation method, the development of selection criteria for the abnormal state, acquisition and signal processing, and an evaluation experiment). In this paper, we introduce the feasibility evaluation method and propose further study points for applying prognosis systems from KHNP's experiences in testing some prognosis technologies available in the market.

Keywords

prognosis; early fault diagnosis; feasibility evaluation; empirical model; nuclear power plant;

Citations & Related Records

Reference

1	Smart Signal Brochure
2	Stephan Wegerich, "Similarity-Based Modeling of Vibration Features for Fault Detection and Identification", Sensor Review, Vol. 25, pp. 114-122. 2005. DOI
3	P. F. Fantoni, M. I. Hoffman, R. Shankar, E. L. Davis, "On-Line Monitoring of Instrument Channel Performance in Nuclear Power Plant Using PEANO", Progress in Nuclear Energy, Vol. 43, pp. 83-89, 2003. DOI
4	In-Youg Seo, Seong-Jun Kim, "An On-line Calibration Monitoring Technique Using Support Vector Regression and Principal Component Analysis", 2008 International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA); Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC) and Innovation in Software Engineering (ISE), 2008.
5	EPRI 1013486, "Plant Application of On-Line Monitoring for Calibration Interval Extension of Safety- Related Instruments: Volume 1", 2006.
6	EPRI 1022988, "Guideline for On-Line Monitoring of Nuclear Power Plant Instrument Channel Performance", Nov. 2011.
7	U. S. NRC NUREG/CR-6895, "Technical Review of On-Line Monitoring Techniques for Performance Assessment", 2006.
8	Soo Ill Lee, "Method of Abnormal States Selection and Diagnosis Filtering for the Prognosis System in Nuclear Power Plants," International Conference on Asia Pacific Symposium on Safety(APSS) 2011, 2011.
9	Soo Ill Lee, Sun-Mi Choi, "A Study on the Feasibility of the On-line Signal Validation Technique based on Empirical Model in Nuclear Power Plants", Transactions of the Korean Intelligent System Society Autumn Meeting, pp. 268-270, 2011.
10	G. Y. Heo, "Condition Monitoring using Empirical Models: Technical Review and Prospects for Nuclear Applications", Nuclear Engineering and Technology, Vol. 40, pp. 49-68, Dec. 2007.
11	M. G. Park, H. C. Shin, J. Y. Lee and Skin You, "Stateof- the-Art of Plant On-line Monitoring Technology for Safety and Performance", Transactions of the Korea Society of Energy Engineering Autumn Meeting, pp. 15-21, 2006.
12	J. T. Kim, I. K. Hwang, J. W. Lee, Y. G. Lee, S. T. Chun, B. J. Kim, Sang Jung Lee, Sung Pil Lyu, "Logic Alarm Cause Tracking System (LogACTs) for Wolsong 3&4", Transactions of the Korean Nuclear Society Spring Meeting, pp. 821-822, 2010.
13	Davide Roverso, "Dynamic Empirical Modelling Techniques for Equipment and Process Diagnostics in Nuclear Power Plants", Proceedings of the International Atomic Energy Agency Conference on On-Line Conditioning Monitoring of Equipment and Processes in Nuclear Power Plants Using Advanced Diagnostic Systems, 2005.