SCSC2003 Abstract S9497
Identification and modelling of some of the effective factors in the Bushehr NPP control room operator's decision making process
Identification and modelling of some of the effective factors in the Bushehr NPP control room operator's decision making process
Submitting Author: Dr. Kamran Sepanloo
Abstract:
Supervisory and control tasks performed in the control room of nuclear power plants depends, to a large extent, on the operators’ cognition actions. Depending on the complexity of the task, cognitive functions can be in skill-based, Rule-based, or Knowledge-based levels. The probable errors of operators in these cognitive levels (occurred in the course of accidents) are traditionally modelled in Probabilistic Safety Analysis (PSA) studies as Fault Trees or Operation Action Trees (OATs). With the consideration of the consequences of human actions, generic fault tree is developed in which the so-called anatomy of an accident is modelled (Rasmussen & Jensen 1973) [4]. In this paper, the operator cognitive performance in three levels is modelled and used for identification and calculation of average basic human error probabilities for a number operators of Bushehr Nuclear Power Plant (BNPP) control room in case of occurrence of two accidents: Loss of Coolant Accident
(LOCA) and Steam Generator Tube leakage (SGTL), with the consideration of two affecting performance shaping factors (PSFs): Time Pressure and Task Complexity.
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