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

Peter Fogh Odgaard; M.V. Wickerhauser

doi:10.1109/ACC.2007.4282149

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 proceeding › Article in proceeding › Research › peer-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 language	English
Title of host publication	American Control Conference, 2007. ACC '07
Number of pages	6
Publisher	Electrical Engineering/Electronics, Computer, Communications and Information Technology Association
Publication date	2007
Pages	5893-5898
ISBN (Print)	1-4244-0989-6
DOIs	https://doi.org/10.1109/ACC.2007.4282149
Publication status	Published - 2007
Event	American Control Conference 2007, ACC'07 - New York, United States Duration: 9 Jul 2007 → 13 Jul 2007

Conference

Conference	American Control Conference 2007, ACC'07
Country/Territory	United States
City	New York
Period	09/07/2007 → 13/07/2007

Access to Document

10.1109/ACC.2007.4282149

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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

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title = "Karhunen-Lo{\`e}ve (PCA) based detection of multiple oscillations in multiple measurement signals from large-scale process plants",

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.",

author = "Odgaard, {Peter Fogh} and M.V. Wickerhauser",

year = "2007",

doi = "10.1109/ACC.2007.4282149",

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booktitle = "American Control Conference, 2007. ACC '07",

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note = "American Control Conference 2007, ACC'07 ; Conference date: 09-07-2007 Through 13-07-2007",

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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, American Control Conference 2007, ACC'07, 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 proceeding › Article in proceeding › Research › peer-review

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AU - Wickerhauser, M.V.

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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.

U2 - 10.1109/ACC.2007.4282149

DO - 10.1109/ACC.2007.4282149

M3 - Article in proceeding

SN - 1-4244-0989-6

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EP - 5898

BT - American Control Conference, 2007. ACC '07

PB - Electrical Engineering/Electronics, Computer, Communications and Information Technology Association

T2 - American Control Conference 2007, ACC'07

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