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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

2021Renewable Energy123 citationsDOIOpen Access PDF

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
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 | Litcius