Picture of a black hole

Strathclyde Open Access research that creates ripples...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of research papers by University of Strathclyde researchers, including by Strathclyde physicists involved in observing gravitational waves and black hole mergers as part of the Laser Interferometer Gravitational-Wave Observatory (LIGO) - but also other internationally significant research from the Department of Physics. Discover why Strathclyde's physics research is making ripples...

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Online conditional anomaly detection in multivariate data for transformer monitoring

Catterson, Victoria M. and McArthur, Stephen D. J. and Moss, Graham (2010) Online conditional anomaly detection in multivariate data for transformer monitoring. IEEE Transactions on Power Delivery, 25 (4). 2556–2564. ISSN 0885-8977

[img]
Preview
Text (Catterson-etal-IEEE-TOPD-2010-Online-conditional-anomaly-detection-in-multivariate-data-for)
Catterson_etal_IEEE_TOPD_2010_Online_conditional_anomaly_detection_in_multivariate_data_for.pdf - Accepted Author Manuscript

Download (2MB) | Preview

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.