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
Zifei Xu, Xuan Mei, Xinyu Wang, Minnan Yue, Jiangtao Jin, Yang Yang, Chun Li
Topics & Concepts
Computer scienceExtrapolationFault (geology)OverfittingConvolutional neural networkMajority ruleFuse (electrical)Artificial intelligenceTurbineGeneralizationVotingTerm (time)Artificial neural networkData miningMachine learningPattern recognition (psychology)EngineeringMathematicsStatisticsQuantum mechanicsMechanical engineeringPoliticsGeologyMathematical analysisSeismologyElectrical engineeringPhysicsPolitical scienceLawMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and Reliability