A fault diagnosis method for a hybrid nuclear power plant

Abstract

The invention discloses a hybrid nuclear power plant fault diagnosis method, belonging to the technical field of fault diagnosis. The method comprises a step of collecting operation parameters in a diagnosed system and transmitting the parameters to an established mechanism simulation model, a step of calculating a residual error on real-time data and a corresponding parameter obtained by simulation model calculation, a step of judging a result or result set of a fault type when the calculated residual error exceeds a limit value, a step of adding a diagnosis result into the simulation model to carry out fault verification, a step of selecting a part of operation parameters obtained by measurement as evaluation parameters, and determining a data analysis model of a Mahalanobis distance function for fault degree evaluation, a step of calculating a Mahalanobis distance value, and establishing evaluation curves of different fault modes, and a step of calculating the Mahalanobis distance function distance value of actual fault data by using the operation data of the diagnosed system after failure, and establishing evaluation curves under different fault degrees to carry out match analysis to complete the quantitative assessment of a fault degree.

Description

technical field [0001] The invention relates to a fault diagnosis method for a hybrid nuclear power plant, belonging to the technical field of fault diagnosis. Background technique [0002] Nuclear power plants have the potential risk of radioactive release. Once an accident occurs, its impact on the surrounding environment and even the global ecology will be very serious. Several serious nuclear accidents in the history of nuclear energy development have made people realize that only relying on the operator in the main control room to operate and respond is very likely to lead to human error. Although the digital instrument and control system can help the operator identify abnormalities, it cannot accurately diagnose and analyze sudden faults such as breaches. Therefore, fast, effective, and high-accuracy fault diagnosis methods should be further studied to ensure the operational safety of nuclear power plants. . [0003] Fault diagnosis is the process of judging the caus...

AI Technical Summary

Problems solved by technology

The disadvantage of this type of method is that it is difficult to acquire knowledge; when there are many rules, there are problems such as matching conflicts and combination explosions in the reasoning process.

However, the main disadvantage of this type of method is that the modeling process is complex, and there are many and complex factors to be considered. The models built by most scholars are too simple to reflect the relationship and changes between various equipment and systems in nuclear power plants.

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