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HARVARD Citation

    Xu, Z. et al. (2022). Fault diagnosis of wind turbine bearing using a multi-scale convolutional neural network with bidirectional long short term memory and weighted majority voting for multi-sensors. Renewable energy. pp. 615-626. [Online]. 
  
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