A combination of XGBoost and FocalLoss-based cable aging state assessment method

Yuanyuan Wang; Xin Wang; Bin Chen; Renzhong Zhang; Wei She; Zhao Tian

doi:10.1117/12.2689775

10 August 2023 A combination of XGBoost and FocalLoss-based cable aging state assessment method

Yuanyuan Wang, Xin Wang, Bin Chen, Renzhong Zhang, Wei She, Zhao Tian

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127482X (2023) https://doi.org/10.1117/12.2689775
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

In this paper, a cable aging state assessment method based on the combination of XGBoost and FocalLoss was proposed. Firstly, the FocalLoss function is used to deal with the problem of small cable sample data and serious imbalance in the ratio between classes. Secondly, the FocalLoss function is used as a custom loss function in the XGBoost algorithm, and the combination of the two can achieve effective assessment of cable aging status by extracting key features of cables. Finally, it is verified by example that the evaluation method can effectively deal with the problem of small number of samples and imbalance, and the accuracy of cable aging state evaluation is significantly improved, which can provide a new direction for cable aging state evaluation.

Citation Download Citation

Yuanyuan Wang, Xin Wang, Bin Chen, Renzhong Zhang, Wei She, and Zhao Tian "A combination of XGBoost and FocalLoss-based cable aging state assessment method", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127482X (10 August 2023); https://doi.org/10.1117/12.2689775

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