Nuclear power plant process system health state monitoring and diagnosis method and system

• Main Authors: MING YAO, BI DAOWEI, HOU JUNWEI, ZHANG QIJIANG, SONG CHUNJING, GUI LUTING, CHEN CHIEN-HUA, TAN WENJI
• Format: Patent
• Language: Chinese; English
• Published: 25.11.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a nuclear power plant process system health state monitoring and diagnosis method and system, and belongs to the technical field of nuclear power plant health state monitoring. Identifying the operation data by adopting a power step identification model, and determining a working condition to which the operation data belongs; according to the working condition, performing anomaly detection on the operation data through an anomaly detection and recognition model to obtain abnormal data in the operation data; performing fault identification on the abnormal data to obtain a fault identification result; and evaluating the health state of the system according to the operation data to obtain a health state evaluation result of the system. The system fault can be accurately detected, and the health state of the system can be evaluated. 本发明公开的一种核电厂工艺系统健康状态监测和诊断方法及系统，属于核电厂健康状态监测技术领域，包括：获取核电厂运行数据；采用功率台阶识别模型对运行数据进行识别，确定运行数据所属工况；根据所属工况，通过异常检测识别模型对运行数据进行异常检测，获得运行数据中的异常数据；对异常数据进行故障识别，获得故障识别结果；根据运行数据