NDLI: Anomaly detection in power generation plants using similarity-based modeling and multivariate analysis

Content Provider	IEEE Xplore Digital Library
Author	Tobar, F.A. Yacher, L. Paredes, R. Orchard, M.E.
Copyright Year	2011
Description	Author affiliation: CONTAC Ing. Ltda., Santiago, Chile (Yacher, L.) \|\| Electr. & Electron. Eng. Dept., Imperial Coll., London, UK (Tobar, F.A.) \|\| Endesa Chile, Santiago, Chile (Paredes, R.) \|\| Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile (Orchard, M.E.)
Abstract	This paper introduces an anomaly detection method based on a combination of nonparametric models of the process and multivariate analysis of residuals. This method basically intends to recognize abnormal conditions in the operation of a monitored system, considering for this purpose the definition of "baseline" operation through historical datasets. In particular, the proposed anomaly detector utilizes similarity-based modeling (SBM) techniques to represent the process behavior and principal component analysis (PCA) for the study of model residuals. The methodology not only helps to detect changes in the operation of the system, but also provides a structured algorithm for the inclusion of representative samples in the data set that is used to define the baseline of the system. The method is validated using data from a power generation plant.
Sponsorship	Control Syst. Soc.
Starting Page	1940
Ending Page	1945
File Size	746035
Page Count	6
File Format	PDF
ISBN	9781457700804
ISSN	07431619
e-ISBN	9781457700811
DOI	10.1109/ACC.2011.5991323
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Databases Training Principal component analysis Power generation Monitoring Estimation Analytical models
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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