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Karhunen-Loeve (PCA) based detection of multiple oscillations in multiple measurement signals from large-scale process plants

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2 Author(s)
Odgaard, P.F. ; KK-Electron. a/s, Aalborg ; Wickerhauser, M.V.

In the perspective of optimizing the control and operation of large scale process plants, it is important to detect and to locate oscillations in the plants. This paper presents a scheme for detecting and localizing multiple oscillations in multiple measurements from such a large-scale power plant. The scheme is based on a Karhunen-Loeve analysis of the data from the plant. The proposed scheme is subsequently tested on two sets of data: a set of synthetic data and a set of data from a coal-fired power plant. In both cases the scheme detects the beginning of the oscillation within only a few samples. In addition the oscillation localization has also shown its potential by localizing the oscillations in both data sets.

Published in:

American Control Conference, 2007. ACC '07

Date of Conference:

9-13 July 2007