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Multivariate approach for equipment health monitoring

: Krauel, C.; Weishäupl, L.


IFAC-PapersOnLine 49 (2016), Nr.12, S.716-720
ISSN: 2405-8963
ISSN: 1474-6670
Conference on Manufacturing Modelling, Management and Control (MIM) <8, 2016, Troyes>
Zeitschriftenaufsatz, Konferenzbeitrag
Fraunhofer IISB ()

This paper deals with a method for equipment health monitoring through a multivariate approach. The approach concentrates on the autonomous classification of different process variable types which are defined by particular variable behaviors and the investigation of specified statistical feature extraction methods for every respective class. Also the computation of the equipment health factor (EHF) is presented. We provide a general method for detection of unknown failures through a multivariate approach to minimize production costs while still maintaining high yield.