LSTM-based deep learning approach for remaining useful life prediction of rolling bearing using proposed C-MMPE feature
Prashant Kumar Sahu, Rajiv Nandan
Topics & Concepts
PrognosticsBearing (navigation)Artificial intelligenceComputer scienceEntropy (arrow of time)Deep learningFeature (linguistics)Machine learningCross entropyPredictive maintenanceLong short term memoryCondition monitoringRegressionExponential functionReliability engineeringData miningEngineeringPattern recognition (psychology)Artificial neural networkMathematicsStatisticsRecurrent neural networkLinguisticsElectrical engineeringPhysicsMathematical analysisPhilosophyQuantum mechanicsMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and Reliability