JIANG, N., & LI, N. (2020, July). Wind turbine frequent principal fault detection based on a self-attentive LSTM encoder-decoder model. Chinese Control Conference, 4171-4176. https://doi.org/10.23919/CCC50068.2020.9188717
Chicago Style (17th ed.) CitationJIANG, Na, and Ning LI. "Wind Turbine Frequent Principal Fault Detection Based on a Self-attentive LSTM Encoder-decoder Model." Chinese Control Conference Jul. 2020: 4171-4176. https://doi.org/10.23919/CCC50068.2020.9188717.
MLA (9th ed.) CitationJIANG, Na, and Ning LI. "Wind Turbine Frequent Principal Fault Detection Based on a Self-attentive LSTM Encoder-decoder Model." Chinese Control Conference, Jul. 2020, pp. 4171-4176, https://doi.org/10.23919/CCC50068.2020.9188717.
Warning: These citations may not always be 100% accurate.