Online conditional anomaly detection in multivariate data for transformer monitoring

Victoria M. Catterson; Stephen D. J. McArthur; Graham Moss

doi:10.1109/TPWRD.2010.2049754

Online conditional anomaly detection in multivariate data for transformer monitoring

Victoria M. Catterson, Stephen D. J. McArthur, Graham Moss

Electronic And Electrical Engineering

Research output: Contribution to journal › Article

30 Citations (Scopus)

Abstract

Retrofitting condition monitoring systems to aging plant can be problematic, since the particular signature of normal behavior will vary from unit to unit. This paper describes a technique for anomaly detection within the context of the conditions experienced by an in-service transformer, such as loading, seasonal weather, and network configuration. The aim is to model the aged but normal behavior for a given transformer, while reducing the potential for anomalies to be erroneously detected. The paper describes how this technique has been applied to two transmission transformers in the U.K. A case study of 12 months of data is given, with detailed analysis of anomalies detected during that time.

Language	English
Pages	2556–2564
Number of pages	9
Journal	IEEE Transactions on Power Delivery
Volume	25
Issue number	4
DOIs	10.1109/TPWRD.2010.2049754
Publication status	Published - 1 Oct 2010

Fingerprint

Retrofitting

Condition monitoring

Aging of materials

Monitoring

Keywords

anomaly detection
multivariate data
transformer monitoring
monitoring
power transformers
fault diagnosis

Cite this

Catterson, V. M., McArthur, S. D. J., & Moss, G. (2010). Online conditional anomaly detection in multivariate data for transformer monitoring. IEEE Transactions on Power Delivery, 25(4), 2556–2564. https://doi.org/10.1109/TPWRD.2010.2049754

Catterson, Victoria M. ; McArthur, Stephen D. J. ; Moss, Graham. / Online conditional anomaly detection in multivariate data for transformer monitoring. In: IEEE Transactions on Power Delivery. 2010 ; Vol. 25, No. 4. pp. 2556–2564.

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Catterson, VM, McArthur, SDJ & Moss, G 2010, 'Online conditional anomaly detection in multivariate data for transformer monitoring' IEEE Transactions on Power Delivery, vol. 25, no. 4, pp. 2556–2564. https://doi.org/10.1109/TPWRD.2010.2049754

Online conditional anomaly detection in multivariate data for transformer monitoring. / Catterson, Victoria M.; McArthur, Stephen D. J.; Moss, Graham.

In: IEEE Transactions on Power Delivery, Vol. 25, No. 4, 01.10.2010, p. 2556–2564.

Research output: Contribution to journal › Article

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