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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

2021Measurement38 citationsDOIOpen Access PDF

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
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 | Litcius