Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor
Juan José Saucedo-Dorantes, Arturo Yosimar Jaen-Cuéllar, Miguel Delgado-Prieto, René de Jesús Romero-Troncoso, Roque A. Osornio‐Rios
Topics & Concepts
InterconnectivityFeature selectionDiscriminative modelCondition monitoringFault detection and isolationClassifier (UML)Computer scienceArtificial neural networkFault (geology)Induction motorArtificial intelligenceData miningEngineeringMachine learningPattern recognition (psychology)ActuatorSeismologyGeologyElectrical engineeringVoltageMachine Fault Diagnosis TechniquesFault Detection and Control SystemsEngineering Diagnostics and Reliability