Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant (2009)

Discussion about method, which focuses on monitoring the movement of cluster center points in real-time, classifying process signals into "slow" and "fast" categories using the K-means algorithm. By extracting statistical features like absolute difference and moving standard deviation, the system aims to provide early detection of potential faults, thereby enhancing plant safety and reducing operational costs.