Optimizing failure analysis through distributed monitoring strategy

Ensuring seamless interaction between the fault diagnostic system, operators, and the control system is imperative. To achieve that, the paper suggests an operational support strategy that integrates alarm information into fault diagnosis. First, a hierarchical grouping approach is proposed to identify critical alarms associated with each subsystem. Then, the alarm information is transformed into dynamic weights and integrated to improve the discrimination between different fault information. Finally, the amalgamated information is presented to the operators in a hierarchical status format. The proposed strategies exploit this advantage and provide strong practicality in actual nuclear power plant fault diagnosis tasks, especially in enhancing the interaction of alarm information.

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Publication Details

Journal
IET conference proceedings.
Published
2025-12-01
DOI
https://doi.org/10.1049/icp.2025.3283
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing failure analysis through distributed monitoring strategy

Yulei Shi, Yu Zhang, Yaping Du, Dejun Han et al.
IET conference proceedings.
Fault Detection and Control Systems
article

Optimizing failure analysis through distributed monitoring strategy

Yulei Shi, Yu Zhang, Yaping Du, Dejun Han, Jie Liu, Yue Yu
article en

Abstract

Ensuring seamless interaction between the fault diagnostic system, operators, and the control system is imperative. To achieve that, the paper suggests an operational support strategy that integrates alarm information into fault diagnosis. First, a hierarchical grouping approach is proposed to identify critical alarms associated with each subsystem. Then, the alarm information is transformed into dynamic weights and integrated to improve the discrimination between different fault information. Finally, the amalgamated information is presented to the operators in a hierarchical status format. The proposed strategies exploit this advantage and provide strong practicality in actual nuclear power plant fault diagnosis tasks, especially in enhancing the interaction of alarm information.

IET conference proceedings.Vol. 2025(30)
Qingdao Academy of Intelligent Industries (CN), Technical University of Munich (DE)
Openalex Percentile: Top 53%
Fault Detection and Control Systems
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Optimizing failure analysis through distributed monitoring strategy — Yulei Shi, Yu Zhang, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS