Feature analysis by k-means clustering for damage assessment in rotating machinery with rolling bearings
Nathali Rolon Dreher, Iago Oliveira de Almeida, Gustavo Chaves Storti, Gregory Bregion Daniel, Tiago Machado
Topics & Concepts
Context (archaeology)Feature extractionCluster analysisBearing (navigation)Pattern recognition (psychology)Frequency domainTime domainComputer scienceVibrationFault (geology)Artificial intelligenceSIGNAL (programming language)Identification (biology)Feature (linguistics)Data miningSignal processingFeature selectionEngineeringComputer visionAcousticsSeismologyBiologyLinguisticsGeologyRadarPhysicsBotanyTelecommunicationsProgramming languagePaleontologyPhilosophyMachine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityStructural Integrity and Reliability Analysis