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

Peter Fogh Odgaard, M.V. Wickerhauser

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

10 Citations (Scopus)

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-Lo\`{e}ve 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 publicationAmerican Control Conference, 2007. ACC '07
Number of pages6
PublisherElectrical Engineering/Electronics, Computer, Communications and Information Technology Association
Publication date2007
Pages5893-5898
ISBN (Print)1-4244-0989-6
DOIs
Publication statusPublished - 2007
EventAmerican Control Conference 2007, ACC'07 - New York, United States
Duration: 9 Jul 200713 Jul 2007

Conference

ConferenceAmerican Control Conference 2007, ACC'07
CountryUnited States
CityNew York
Period09/07/200713/07/2007

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Power plants
Coal

Cite this

Odgaard, P. F., & Wickerhauser, M. V. (2007). Karhunen-Loève (PCA) based detection of multiple oscillations in multiple measurement signals from large-scale process plants. In American Control Conference, 2007. ACC '07 (pp. 5893-5898). Electrical Engineering/Electronics, Computer, Communications and Information Technology Association. https://doi.org/10.1109/ACC.2007.4282149
Odgaard, Peter Fogh ; Wickerhauser, M.V. / Karhunen-Loève (PCA) based detection of multiple oscillations in multiple measurement signals from large-scale process plants. American Control Conference, 2007. ACC '07. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2007. pp. 5893-5898
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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-Lo\`{e}ve 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.",
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Odgaard, PF & Wickerhauser, MV 2007, Karhunen-Loève (PCA) based detection of multiple oscillations in multiple measurement signals from large-scale process plants. in American Control Conference, 2007. ACC '07. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, pp. 5893-5898, New York, United States, 09/07/2007. https://doi.org/10.1109/ACC.2007.4282149

Karhunen-Loève (PCA) based detection of multiple oscillations in multiple measurement signals from large-scale process plants. / Odgaard, Peter Fogh; Wickerhauser, M.V.

American Control Conference, 2007. ACC '07. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2007. p. 5893-5898.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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N2 -  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-Lo\`{e}ve 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.

AB -  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-Lo\`{e}ve 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.

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Odgaard PF, Wickerhauser MV. Karhunen-Loève (PCA) based detection of multiple oscillations in multiple measurement signals from large-scale process plants. In American Control Conference, 2007. ACC '07. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association. 2007. p. 5893-5898 https://doi.org/10.1109/ACC.2007.4282149