APA (7th ed.) Citation

Ma, S., Chen, M., Wu, J., Wang, Y., Jia, B., & Jiang, Y. (2019). High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder. IEEE transactions on industrial electronics (1982), 66(12), 9777-9788. https://doi.org/10.1109/TIE.2018.2879308

Chicago Style (17th ed.) Citation

Ma, Suliang, Mingxuan Chen, Jianwen Wu, Yuhao Wang, Bowen Jia, and Yuan Jiang. "High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder." IEEE Transactions on Industrial Electronics (1982) 66, no. 12 (2019): 9777-9788. https://doi.org/10.1109/TIE.2018.2879308.

MLA (9th ed.) Citation

Ma, Suliang, et al. "High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder." IEEE Transactions on Industrial Electronics (1982), vol. 66, no. 12, 2019, pp. 9777-9788, https://doi.org/10.1109/TIE.2018.2879308.