Intelligent Diagnosis and Monitoring for Abnormal Operation Event of Reactor Coolant System

Yao Yuantao; Zhe Na; Yong Nuo; Xia Dongqin; Ge Daochuan; Yu Jie

doi:10.13832/j.jnpe.2024.080023

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Yao Yuantao, Zhe Na, Yong Nuo, Xia Dongqin, Ge Daochuan, Yu Jie. Intelligent Diagnosis and Monitoring for Abnormal Operation Event of Reactor Coolant System[J]. Nuclear Power Engineering. doi: 10.13832/j.jnpe.2024.080023

Citation:

Yao Yuantao, Zhe Na, Yong Nuo, Xia Dongqin, Ge Daochuan, Yu Jie. Intelligent Diagnosis and Monitoring for Abnormal Operation Event of Reactor Coolant System[J]. Nuclear Power Engineering. doi: 10.13832/j.jnpe.2024.080023

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Intelligent Diagnosis and Monitoring for Abnormal Operation Event of Reactor Coolant System

doi: 10.13832/j.jnpe.2024.080023

1.
Institute of Nuclear Energy Safety Technology, Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031
2.
Nuclear Power Institute of China, Chengdu, 610213

Received Date: 2024-08-13
Rev Recd Date: 2024-09-23

Available Online: 2025-01-15

Abstract

Abstract

In order to solve the problem that the traditional deep learning (DL)-based intelligent fault diagnosis model cannot monitor the unknown abnormal operation events, this work constructs an intelligent diagnosis framework based on the probabilistic deep neural network (VI-PDNN) model of variational inference, which realizes the diagnosis of the abnormal event categories of the reactor coolant system and quantitatively evaluates the uncertainty of the output results. The framework can effectively utilize the uncertainty difference between known and unknown operating events to achieve effective monitoring and warning of unknown abnormal operating events. Finally, the proposed methodology is validated based on simulation data from an established reactor simulator. The results show that the proposed method not only obtains high diagnostic accuracy for known events, but also effectively monitors and warns against unknown abnormal events, providing an effective means for real-time intelligent state diagnosis and monitoring of reactor system operation in real environment.
- Reactor coolant systems,
- Abnormal operation event,
- Intelligent fault diagnosis and monitoring,
- Uncertainty evaluation

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References(16)

References

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