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

Peter Fogh Odgaard, M.V. Wickerhauser

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

10 Citationer (Scopus)

Resumé

 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.
OriginalsprogEngelsk
TitelAmerican Control Conference, 2007. ACC '07
Antal sider6
ForlagElectrical Engineering/Electronics, Computer, Communications and Information Technology Association
Publikationsdato2007
Sider5893-5898
ISBN (Trykt)1-4244-0989-6
DOI
StatusUdgivet - 2007
BegivenhedAmerican Control Conference 2007, ACC'07 - New York, USA
Varighed: 9 jul. 200713 jul. 2007

Konference

KonferenceAmerican Control Conference 2007, ACC'07
LandUSA
ByNew York
Periode09/07/200713/07/2007

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Power plants
Coal

Citer dette

Odgaard, P. F., & Wickerhauser, M. V. (2007). Karhunen-Loève (PCA) based detection of multiple oscillations in multiple measurement signals from large-scale process plants. I American Control Conference, 2007. ACC '07 (s. 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. s. 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. i American Control Conference, 2007. ACC '07. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, s. 5893-5898, American Control Conference 2007, ACC'07, New York, USA, 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. s. 5893-5898.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Wickerhauser, M.V.

PY - 2007

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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. I American Control Conference, 2007. ACC '07. Electrical Engineering/Electronics, Computer, Communications and Information Technology Association. 2007. s. 5893-5898 https://doi.org/10.1109/ACC.2007.4282149