Research on intelligent diagnosis system for SBLOCA in nuclear power plant

Abstract

The small break loss of coolant accident (SBLOCA) is one of high frequency incident types in Pressurized Water Reactor (PWR), which becomes the focus of research in recent years. The SBLOCA have not only caused primary loop pressure drops, but also produce heat damage of fuel element as the reactor core exposed for a long time at high pressure. The severity of SBLOCA varies between break size, break location and initial state, so how to diagnose accident types accurately and quickly has received tremendous attention, therefore, this paper design and implement an intelligent diagnostic system for SBLOCA. The accident data sets are collected to create parameters database firstly, then implement dignosis modeling based on SVM by Matlab, and then the process are integrate to B/S prototype by Django with a nicer interactive interface.