Nuclear power device fault diagnosis method and system

Abstract

The invention relates to a nuclear power device fault diagnosis method and system. The method comprises the steps of obtaining historical operation data and actual operation data of the nuclear powerdevice, and determining the state category of the actual operation data; performing phase space reconstruction on the actual operation data, and determining the reconstructed actual operation data; establishing a time convolution network model formed by stacking the small convolution kernels; constructing a time convolution network base classifier by using the reconstructed actual operation data and the state category; determining a training set and a test set of a secondary classifier according to the five time convolution network base classifiers; training a secondary classifier by using thesecondary classifier training set, testing the secondary classifier by using the secondary classifier test set, and determining a stack generalization ensemble learning model; and performing fault diagnosis on the nuclear power device according to the stack generalization ensemble learning model, and outputting a fault category. According to the invention, the accuracy of fault diagnosis is improved, and misdiagnosis and missed diagnosis are avoided.

Description

technical field [0001] The invention relates to the field of diagnosis of nuclear power plant faults, in particular to a diagnostic method and system for nuclear power plant faults. Background technique [0002] The structure of the nuclear power system is complex, and there is a potential risk of radioactive release, which has extremely high requirements for safety. Therefore, the reliability requirements for nuclear power systems are very high; at the same time, with the demand for offshore drilling platforms and island power generation, it is impossible to deploy a large number of operating personnel on related platforms. Therefore, the automation and intelligence level of nuclear power plant operation The requirements are very high, and the demand for less-attended and unattended operations is relatively strong. The operating environment of the nuclear power system is harsh, and the key equipment of the system works continuously for a long time, which is extremely prone...

AI Technical Summary

Problems solved by technology

[0014] The purpose of this invention is to provide a diagnostic method and system for nuclear power plant faults, to solve the problem of accurate fault diagnosis in traditional machine learning and most deep learning methods Low rate, frequent misdiagnosis and missed diagnosis

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