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

P. F. Odgaard, M. V. Wickerhauser

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

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-Loève 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.

Original languageEnglish
Title of host publicationProceedings of the 2007 American Control Conference, ACC
Pages5893-5898
Number of pages6
DOIs
StatePublished - 2007
Event2007 American Control Conference, ACC - New York, NY, United States
Duration: Jul 9 2007Jul 13 2007

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2007 American Control Conference, ACC
Country/TerritoryUnited States
CityNew York, NY
Period07/9/0707/13/07

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