Research on Intelligent Identification Method of Primary Loop Transient in Nuclear Power Plant

The primary loop transient of nuclear power plant is one of the important references for characterizing the fatigue of primary loop materials. For the identification and classification of transients, the common method is to determine according to the change of the value and the operation of the unit. In this paper, through the research on the thermal parameters behind various transients and the exploration of the law of transient occurrence, a complete set of automatic transient identification framework is formed. Combined with new computer technologies such as machine learning, it realizes fully automatic processing from the import of raw data to the export of recognition results. It provides ideas for the key links in the development of the whole-process automation platform for transient management.