A novel unsupervised method for anomaly detection in time series based on statistical features for industrial predictive maintenance
Jesimar da Silva Arantes, Márcio da Silva Arantes, Herberth Birck Fröhlich, Laure Siret, Renan Bonnard
Topics & Concepts
DowntimeComputer scienceAnomaly detectionBenchmark (surveying)Predictive maintenanceUnivariateData miningInterruptReceiver operating characteristicFault detection and isolationMachine learningMultivariate statisticsArtificial intelligenceReliability engineeringEngineeringGeodesyActuatorGeographyOperating systemTransmission (telecommunications)TelecommunicationsAnomaly Detection Techniques and ApplicationsSpectroscopy and Chemometric AnalysesFault Detection and Control Systems