A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity
Dawei Gao, Yongsheng Zhu, Zhijun Ren, Ke Yan, Wei Kang
Topics & Concepts
Computer scienceFault (geology)Noise (video)Pattern recognition (psychology)Recurrent neural networkConvolution (computer science)Bearing (navigation)Feature (linguistics)ResidualArtificial intelligenceWaveletFeature extractionBlock (permutation group theory)SIGNAL (programming language)Rolling-element bearingAlgorithmVibrationArtificial neural networkMathematicsAcousticsPhilosophyGeologyPhysicsLinguisticsImage (mathematics)GeometrySeismologyProgramming languageMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisFault Detection and Control Systems