Title :
Reliability Assessment of Nuclear Power Plant Digital Instrumentation and Control System II: Challenges from Uncertainty of failure data and complexity of system and corresponding research status
Author :
Zhou Shiliang ; Liu Yuyan
Author_Institution :
Sch. of Nucl. Sci. & Eng., North China Electr. Power Univ., Beijing, China
fDate :
May 31 2014-June 2 2014
Abstract :
After introducing difficulty of digital instrumentation and control system failure data estimation, it´s pointed out not only random uncertainty, but also epistemic uncertainty of failure data should be addressed in a systematic way. Advantage, limitation and application status of traditional uncertainty analysis method, Bayesian theory based method, probability theory based method and two dimension Monte Carlo methods are introduced. Challenges rise from its Complexity and large scale character are also discussed in detail, and research status and trend to address these challenges is also given.
Keywords :
Bayes methods; Monte Carlo methods; computerised instrumentation; failure analysis; nuclear power stations; power engineering computing; power station control; uncertainty handling; Bayesian theory based method; epistemic uncertainty; failure data uncertainty; nuclear power plant digital control system; nuclear power plant digital instrumentation system; probability theory based method; random uncertainty; reliability assessment; system complexity; two dimension Monte Carlo methods; uncertainty analysis method; Analytical models; Bayes methods; Hardware; Software; Software reliability; Uncertainty; Digital instrumentation and control system; Nuclear power plant; Reliability assessment; Research status; Uncertainty analysis; large scale system character;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852458
