Research on wind vibration hazard identification of conductors based on machine learning technology

Hongzhi Su; Lei Zhang; Jingshan Han; Yi Wang; Guiqing Liu; Zhongyang Xu

doi:10.1117/12.3013582

29 November 2023 Research on wind vibration hazard identification of conductors based on machine learning technology

Hongzhi Su, Lei Zhang, Jingshan Han, Yi Wang, Guiqing Liu, Zhongyang Xu

Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 1293705 (2023) https://doi.org/10.1117/12.3013582
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore

Abstract

In this study, a multi-layer perceptron based identification method is proposed for the identification of wind vibration hazards of conductors in power systems. First, the background and impact of conductor wind vibration hazards are introduced and analyzed, and the related theories are discussed. Further, a data set including several feature parameters is established, and a high-quality feature vector is obtained through feature engineering, and the degree of influence of each attribute on the occurrence of wind vibration is explored. Then, a multilayer perceptron model with multiple implicit layers is designed and trained for the automatic identification of wind vibration hazards in conductors. Finally, experimental validation shows that the proposed method has high accuracy and robustness in wire wind vibration hazard identification and can be effectively applied to the safe operation of power systems.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongzhi Su, Lei Zhang, Jingshan Han, Yi Wang, Guiqing Liu, and Zhongyang Xu "Research on wind vibration hazard identification of conductors based on machine learning technology", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 1293705 (29 November 2023); https://doi.org/10.1117/12.3013582

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