Predicting the Severity of Nuclear Power Plant Transients by Using Genetic and Nearest Neighbor Algorithms
نویسندگان
چکیده
Nuclear power plant status is monitored by a human operator. To enhance the operator’s capability to diagnose the nuclear power plant status in case of a transient, several systems were developed to identify the type of the transient. Few of them addressed the further question: how severe is the transient? In this paper, we explore the possibility of predicting the severity of a transient using genetic algorithms and nearest neighbor algorithms after its type has been identified.
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تاریخ انتشار 2007