Multi-layer Integrated Extreme Learning Machine for Mechanical Fault Diagnosis of High-Voltage Circuit Breaker
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6135-9_22
Reference27 articles.
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2. Liu, Y., Zhang, G., Zhao, C., Qin, H., Yang, J.: Influence of mechanical faults on electrical resistance in high voltage circuit breaker. Int. J. Electr. Power Energy Syst. 129, 106827 (2021)
3. Razi-Kazemi, A., Niayesh, K.: Condition monitoring of high voltage circuit breakers: past to future. IEEE Trans. Power Delivery 36, 740–750 (2021)
4. Zhao, S., Wang, E., Hao, J.: Fault diagnosis method for energy storage mechanism of high voltage circuit breaker based on CNN characteristic matrix constructed by sound-vibration signal. J. Vibroengineering 21, 1665–1678 (2019)
5. Niu, W., Liang, G., Yuan, H., Li, B.: A fault diagnosis method of high voltage circuit breaker based on moving contact motion trajectory and ELM. Math. Probl. Eng. 2016, 1–10 (2016)
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Mechanical fault diagnosis of high voltage circuit breaker using multimodal data fusion;PeerJ Computer Science;2024-08-26
2. Fault Diagnosis of High-Voltage Circuit Breakers via Hybrid Classifier by DS Evidence Fusion Algorithm;International Conference on Neural Computing for Advanced Applications;2023
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