Study on Data Driven Anomaly Detection and Analysis Algorithm for Nuclear Power Systems

Aiming at the problem that there are few and incomplete fault samples in nuclear power system on-line anomaly detection, referring to the concept of Safe operation domain, and based on the idea of logical distance calculation, this paper proposes a nuclear power system anomaly detection algorithm based on normal operation data. Taking the historical data of common operating conditions of a nuclear power system as the object, numerical experiments were carried out to verify the algorithm. The results show that the design algorithm can effectively detect system anomalies and faults, with good reliability and interpretability, and the detection strength can be adjusted.