@inproceedings{7655d4d611c547229991a46a3cd6a11e,
title = "Fault Diagnosis of High-Voltage Circuit Breaker Based on Digital Twin",
abstract = "High-voltage circuit breaker is one of the key components in the power grid, and mechanical faults often occur during long-time operation. A method based on digital twin for mechanical fault diagnosis of high-voltage circuit breaker is proposed in this paper. First, a finite element twin model is established to simulate the opening and closing operation of high-voltage circuit breaker to simulate its typical coil currents, then measured coil currents are obtained from the actual circuit breaker. Both the virtual data and measured data are utilized to train the KNN model to perform the fault diagnosis of five operation states. Experimental results show that the proposed digital twin method can simulate the operation of high-voltage circuit breaker, provide more failure types of data and can efficaciously diagnose mechanical faults with a high classification accuracy.",
keywords = "digital twin, fault diagnosis, high-voltage circuit breaker, KNN",
author = "Yunyi Zhu and Zheng Qian and Shuai Yuan and Hao Yu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Advanced Electrical Equipment and Reliable Operation, AEERO 2021 ; Conference date: 15-10-2021 Through 17-10-2021",
year = "2021",
doi = "10.1109/AEERO52475.2021.9708367",
language = "英语",
series = "International Conference on Advanced Electrical Equipment and Reliable Operation, AEERO 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "International Conference on Advanced Electrical Equipment and Reliable Operation, AEERO 2021",
address = "美国",
}