Under CopyrightKrauel, ChristopherChristopherKrauelWeishäupl, LauraLauraWeishäuplPetzold, LisaLisaPetzoldPfeffer, MarkusMarkusPfefferBauer, AntonAntonBauer2022-03-1319.5.20162015https://publica.fraunhofer.de/handle/publica/39193110.24406/publica-fhg-391931This presentation deals with the implementation of an autonomous variable classification and key feature extraction methodology for equipment health factor monitoring. Our approach concentrates on the autonomous classification of different variable types which are defined by different variable behaviors and the investigation of specified statistical feature extraction methods for every respective class. The goal is to provide a generic method that chooses the correct feature extraction algorithm depending on the nature of the input variables.enclassificationkey feature extractionEquipment Health Factor (EHF)condition monitoring670620530presentation