As the essential nuclear measurement equipment in new generation nuclear power plants,the self-powered neutron detector(SPND)plays a crucial role in ensuring the safe operation of reactors.The existing fault detection methods focus on time-domain analysis to build data-driven models,without leveraging the spatial coupling relationship of neutron flux in the reactor core.Therefore,an in-core SPND fault detection and isolation method integrating spatial-temporal information is proposed.First,the spatial-temporal graph data for SPND fault detection are established by combining SPND data with the layout of detector components within the reactor.Then,a real-time SPND fault detection model is designed using the graph convolution network-gate recurrent unit(GCN-GRU)and fault isolation(FI)strategy.Finally,using historical data and simulated fault samples from a pressurized water reactor,case analysis demonstrates that the method effectively fuses the spatial-temporal joint information of the overall SPNDs to reconstruct the current signals of individual SPNDs.The method can accurately detect and isolate faulty SPNDs,which exhibits higher accuracy and universality.
关键词
核电厂/自给能中子探测器/故障检测/故障隔离/图卷积网络/门控循环单元
Key words
nuclear power plant/self-powered neutron detector/fault detection/fault isolation/graph convolution network/gate recurrent unit
万方数据