Real-time data abnormal diagnosis method for monitoring operation of nuclear power unit
A real-time data, abnormal diagnosis technology, applied in nuclear power generation, power plant safety devices, greenhouse gas reduction, etc., can solve problems such as incompetence, improve safety, facilitate implementation, and avoid model degradation.
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[0038] A number of important variables related to various possible faults are selected to form a real-time data anomaly diagnosis variable set. On this basis, the operation data of the production process of the nuclear power unit is collected online (generally, it needs to be collected continuously for more than 72 hours), and the original training data set X0 for establishing the data abnormality diagnosis model is obtained. The selected abnormal diagnostic variable set mainly includes: power grid load, reactor nuclear power, turbine generator speed, containment pit water level, radioactivity concentration in the air inside the containment vessel, main steam radioactivity, primary circuit coolant pressure, reactor pressure vessel Water level, steam generator pressure, steam generator water level, primary circuit flow rate, primary circuit coolant temperature, pressurizer water level, condenser exhaust radioactivity concentration, pressurizer pressure, 1-5# steam turbine bearin...
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