Fault Diagnosis of High-Voltage Circuit Breakers via Hybrid Classifier by DS Evidence Fusion Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5847-4_21
Reference30 articles.
1. 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 129 (2021)
2. Li, X., Zhang, T., Guo, W., Wang, S.: Multi-layer integrated extreme learning machine for mechanical fault diagnosis of high-voltage circuit breaker. In: Zhang, H., et al. (eds.) NCAA 2022. CCIS, vol. 1638, pp. 287–301. Springer, Singapore (2022). https://doi.org/10.1007/978-981-19-6135-9_22
3. Zhang, X., Gockenbach, E., Liu, Z., Chen, H., Yang, L.: Reliability estimation of high voltage SF6 circuit breakers by statistical analysis on the basis of the field data. Electr. Power Syst. Res. 103, 105–1013 (2013)
4. Razi-Kazemi, A.A., Niayesh, K.: Condition monitoring of high voltage circuit breakers: past to future. IEEE Trans. Power Deliv. 36, 740–750 (2021)
5. Ramentol, E., et al.: Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: the SMOTE-FRST-2T algorithm. Eng. Appl. Artif. Intell. 48, 134–139 (2016)
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