Research on intelligent identification of potential grounding hazards of OPGW fiber composite overhead ground cable in substation

The intelligent identification of potential grounding hazards for the OPGW (optical fiber composite overhead ground wire) fiber composite overhead ground wire in a substation is designed. The transfer function of the measurement system is established through an analysis of the equivalent circuit and the system structure diagram. Based on the cluster division results and historical operation and maintenance experience, the risk scenario corresponding to each cluster center is analyzed. A risk-level identification label is assigned to each cluster. The experimental results demonstrate that the maximum identification accuracy of the proposed method reaches 97 %, with an identification time of <3 ms.

Authors

Publication Details

Journal
Results in Engineering
Published
2025-09-01
DOI
https://doi.org/10.1016/j.rineng.2025.107073
Citations
1
Primary Topic
Elevator Systems and Control
Type
article
Field-Weighted Citation Impact
1.21
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Research on intelligent identification of potential grounding hazards of OPGW fiber composite overhead ground cable in substation

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1 citations
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article

Research on intelligent identification of potential grounding hazards of OPGW fiber composite overhead ground cable in substation

Shihua Wang, Huang Yuan, Junbo Li, Yang Wu, Lei Peng
article en
1 citations

Abstract

The intelligent identification of potential grounding hazards for the OPGW (optical fiber composite overhead ground wire) fiber composite overhead ground wire in a substation is designed. The transfer function of the measurement system is established through an analysis of the equivalent circuit and the system structure diagram. Based on the cluster division results and historical operation and maintenance experience, the risk scenario corresponding to each cluster center is analyzed. A risk-level identification label is assigned to each cluster. The experimental results demonstrate that the maximum identification accuracy of the proposed method reaches 97 %, with an identification time of <3 ms.

Results in EngineeringVol. 28
Openalex Percentile: Top 17%
Elevator Systems and Control
1.21
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