Mechanical Fault Diagnosis of High Voltage Circuit Breaker Based on Autoencoder and Metric Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70235-8_8
Reference16 articles.
1. Liu, Z., et al.: A contribution to the development of high-voltage dc circuit breaker technologies: a review of new considerations. IEEE Ind. Electron. Mag. 16(1), 42–59 (2021)
2. Velásquez, R.M.A., Lara, J.V.M.: Root cause analysis methodology for circuit breaker associated to GIS. Eng. Fail. Anal. 115, 104680 (2020)
3. Razi-Kazemi, A.A., Niayesh, K.: Condition monitoring of high voltage circuit breakers: past to future. IEEE Trans. Power Delivery 36(2), 740–750 (2020)
4. Yang, Q., Ruan, J., Zhuang, Z.: Fault diagnosis for circuit-breakers using adaptive chirp mode decomposition and attractor’s morphological characteristics. Mech. Syst. Signal Process. 145, 106921 (2020)
5. Gao, W., Wai, R.J., Qiao, S.P., et al.: Mechanical faults diagnosis of high-voltage circuit breaker via hybrid features and integrated extreme learning machine. IEEE Access 7, 60091–60103 (2019)
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