Fault diagnosis method for distribution network transformer based on artificial intelligence

Qiuyu Zhang; Yunfeng Jiang; Kuitao Wang

doi:10.1117/12.2686165

21 July 2023 Fault diagnosis method for distribution network transformer based on artificial intelligence

Qiuyu Zhang, Yunfeng Jiang, Kuitao Wang

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127171D (2023) https://doi.org/10.1117/12.2686165
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

Distribution network transformers have the function of controlling power equipment, but faults and anomalies often occur during practical applications. Therefore, a fault diagnosis method for distribution network transformers based on artificial intelligence is designed. Select characteristic fault diagnosis parameters, design an intelligent closed-loop transfer fault diagnosis model, and use cost matrix to complete the fault diagnosis of intelligent transformers. The final test results show that compared to the traditional AdaBoost sensitive fault diagnosis test group and the traditional parallel fault diagnosis test group, the maximum absolute difference obtained by the artificial intelligence fault diagnosis test group designed in this article is relatively small, indicating that the application fault diagnosis error of this method has been greatly controlled, with better results, and has practical application value.

Citation Download Citation

Qiuyu Zhang, Yunfeng Jiang, and Kuitao Wang "Fault diagnosis method for distribution network transformer based on artificial intelligence", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127171D (21 July 2023); https://doi.org/10.1117/12.2686165

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