Accident Classification and Clustering Using RSM in NPPs

The conventional way for tracking an accident during emergency operation is to manually track important safety related parameters whether they are approaching the unacceptable limits that are provided by vendors/designers in the technical specifications of the plant such as; observing the pressure, temperature, SG water level and so on. As the time of emergency in NPP, a fast estimation and decision of which procedure will be followed to assist and mitigate the accident; a computational aid system would be helpful for operators to identify the initiation time of accident and to help them identifying the type of accidents using classification or clustering methods. This computational engine is based on the RSM specifically the 1^st RSM that can identify the increasing and decreasing pattern with their orientation angle and can capture the initiation time of accident.