Publication | Open Access

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

Fault DiagnosisWind Turbine BearingWeighted Majority VotingEngineeringMachine LearningData ScienceFault EstimationPattern RecognitionDiagnosisFault ForecastingDeep LearningFault DetectionAutomatic Fault Detection