Modeling uncertainty of instrument and control system of nuclear power plant

Abstract

The cause of inaccurate prediction of system dependability is the uncertainty associated with the modeling, which may lead to overestimation or underestimation of dependability metrics. The prediction of system abnormality or abnormal component of the system under uncertainty becomes a challenging issue and essential for control and safety-critical systems. To efficiently detect the abnormal component's causes of whole system failure, this paper proposes a Piping Possibilistic Timed Coloured Petri Net (PPTCPN) to model the uncertainty. The effectiveness of the proposed mechanism has been validated on 5 different safety critical and control systems of Nuclear Power Plant, and shown on a Digital Feedwater Control System (DFWCS) in this paper. © 2019 Elsevier Ltd