Research on the Diagnosis Method of Unseen New Faults and Composite Faults of High Voltage Circuit Breaker via Zero-Shot Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1068-3_43
Reference15 articles.
1. Wang, Y., Yan, J., Ye, X., Jing, Q., Wang, J., Geng, Y.: Few-shot transfer learning with attention mechanism for high-voltage circuit breaker fault diagnosis. IEEE Trans. Ind. Appl. 58(3), 3353–3360 (2022)
2. Ye, X., Yan, J., Wang, Y., Wang, J., Geng, Y.: A novel U-Net and capsule network for few-shot high-voltage circuit breaker mechanical fault diagnosis. Measurement 199, 111527 (2022)
3. Gao, W., Qiao, S.P., Wai, R.J., Guo, M.: A newly designed diagnostic method for mechanical faults of high-voltage circuit breakers via SSAE and IELM. IEEE Trans. Instrum. Meas. 70, 1–13 (2020)
4. Ma, S., Yuan, Y., Wu, J., Jiang, Y., Jia, B., Li, W.: Multisensor decision approach for HVCB fault detection based on the vibration information. IEEE Sens. J. 21(2), 985–994 (2021)
5. Ma, S., Chen, M., Wu, J., Wang, Y., Jia, B., Jiang, Y.: High-voltage circuit breaker fault diagnosis using a hybrid feature transformation approach based on random forest and stacked autoencoder. IEEE Trans. Ind. Electron. 66(12), 9777–9788 (2018)
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