General Health Assessment Method for Critical Nuclear Power Plant Equipment Based on Time-Series Characteristics of State Parameters

Ke Lishi; Du Haihu; Yang Xiaohu; Zhang Sheng; Huang Lijun

doi:10.13832/j.jnpe.2024.060009

Volume 46 Issue 3

Jun. 2025

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Article Navigation > Nuclear Power Engineering > 2025 > 46(3): 229-235

Ke Lishi, Du Haihu, Yang Xiaohu, Zhang Sheng, Huang Lijun. General Health Assessment Method for Critical Nuclear Power Plant Equipment Based on Time-Series Characteristics of State Parameters[J]. Nuclear Power Engineering, 2025, 46(3): 229-235. doi: 10.13832/j.jnpe.2024.060009

Citation:

Ke Lishi, Du Haihu, Yang Xiaohu, Zhang Sheng, Huang Lijun. General Health Assessment Method for Critical Nuclear Power Plant Equipment Based on Time-Series Characteristics of State Parameters[J]. Nuclear Power Engineering, 2025, 46(3): 229-235. doi: 10.13832/j.jnpe.2024.060009

Citation:

Ke Lishi, Du Haihu, Yang Xiaohu, Zhang Sheng, Huang Lijun. General Health Assessment Method for Critical Nuclear Power Plant Equipment Based on Time-Series Characteristics of State Parameters[J]. Nuclear Power Engineering, 2025, 46(3): 229-235. doi: 10.13832/j.jnpe.2024.060009

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General Health Assessment Method for Critical Nuclear Power Plant Equipment Based on Time-Series Characteristics of State Parameters

doi: 10.13832/j.jnpe.2024.060009

1.
Suzhou Nuclear Power Research Institute Co., Ltd., Shenzhen, Guangdong, 518048, China
2.
Guangxi Fangchenggang Nuclear Power Co., Ltd., Fangchenggang, Guangxi, 538000, China

Received Date: 2024-05-29
Rev Recd Date: 2024-09-13

Available Online: 2025-06-09

Publish Date: 2025-06-09

Abstract

Abstract

To address the issues of low accuracy and poor generalizability in existing health assessment methods for nuclear power equipment, this study establishes a generalized health assessment method for important equipment in nuclear power plant based on time-series characteristics of state parameters. By analyzing the time-series characteristics of state parameters, this method constructs an evaluation index matrix and an assessment model, and forms a general method suitable for various types of equipment in nuclear power plants. Taking circulating water pumps of different manufacturers and models as examples, the proposed method achieves over 93% accuracy in health assessment and significantly advances anomaly detection timelines. These results demonstrate that the general health condition assessment method established in this study can improve the accuracy of health status assessment of nuclear power plant equipment and is suitable for various types of equipment in nuclear power plants.

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References(14)

References

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