A novel scheme based on modified hierarchical time-shift multi-scale amplitude-aware permutation entropy for rolling bearing condition assessment and fault recognition
Zhe Li, Longlong Li, Runlin Chen, Yanchao Zhang, Yahui Cui, Ningqiang Wu
Topics & Concepts
Pattern recognition (psychology)Support vector machineDiscriminative modelComputer scienceEntropy (arrow of time)Feature vectorArtificial intelligenceRobustness (evolution)Bearing (navigation)Feature selectionEngineeringAlgorithmData miningBiochemistryChemistryPhysicsGeneQuantum mechanicsMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and Reliability