| Author(s) |
Holger Schöner
Bernhard Moser
Edwin Lughofer
|
| Title |
On preprocessing multi-channel sensor data for online process monitoring |
| Booktitle |
Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 2008) |
| Typ |
Inproceedings |
| Month |
December |
| Year |
2008 |
| Pages |
414-419 |
| Editor(s) |
M. Masoud Mohammadian |
| Publisher |
IEEE Computer Society |
| ISBN |
1-4244-3329-0 |
| SCCH # |
0836 |
| 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 |