On preprocessing multi-channel sensor data for online process monitoring

H. Schöner, B. Moser, E. Lughofer. On preprocessing multi-channel sensor data for online process monitoring. pages 414-419, 12, 2008.

Autoren
  • Holger Schöner
  • Bernhard Moser
  • Edwin Lughofer
Editoren
  • M. Masoud Mohammadian
BuchProceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2008)
TypIn Konferenzband
VerlagIEEE Computer Society
ISBN1-4244-3329-0
Monat12
Jahr2008
Seiten414-419
Abstract This paper discusses online monitoring production processes based on multi-channel sensor data. Particularly the problem of transient and anomaly detection is addressed for which a processing framework consisting of a preprocessing module and a reasoning engine is outlined. While there is much theory available in the literature for the reasoning engine this is not the case for the preprocessing which massively depends on the physical interpretation and semantics of the data. The paper addresses these problems and proposes new normalization concepts based on regularization especially for making transients of multi-channel data comparable and adequate for further processing by a reasoning engine. A proof of concept is demonstrated by means of real data from an injection moulding process