On-line transformer condition monitoring through diagnostics and anomaly detection

V.M. Catterson; S.E. Rudd; S.D.J. McArthur; G. Moss

doi:10.1109/ISAP.2009.5352860

On-line transformer condition monitoring through diagnostics and anomaly detection

V.M. Catterson, S.E. Rudd, S.D.J. McArthur, G. Moss

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

16 Citations (Scopus)

7 Downloads (Pure)

Abstract

This paper describes the end-to-end components of an on-line system for diagnostics and anomaly detection. The system provides condition monitoring capabilities for two in- service transmission transformers in the UK. These transformers are nearing the end of their design life, and it is hoped that intensive monitoring will enable them to stay in service for longer. The paper discusses the requirements on a system for interpreting data from the sensors installed on site, as well as describing the operation of specific diagnostic and anomaly detection techniques employed. The system is deployed on a substation computer, collecting and interpreting site data on-line.

Original language	English
Title of host publication	ISAP '09. 15th International Conference on Intelligent System Applications to Power Systems, 2009.
Place of Publication	9781424450978
Publisher	IEEE
Number of pages	6
DOIs	https://doi.org/10.1109/ISAP.2009.5352860
Publication status	Published - Nov 2009
Event	2009 15th International Conference on Intelligent System Applications to Power Systems - Curitiba, Brazil Duration: 8 Nov 2009 → 12 Nov 2009 http://www.isap-power.org/

Conference

Conference	2009 15th International Conference on Intelligent System Applications to Power Systems
Abbreviated title	ISAP'09
Country/Territory	Brazil
City	Curitiba
Period	8/11/09 → 12/11/09
Internet address	http://www.isap-power.org/

Keywords

on-line transformer
condition monitoring
diagnostics
anomaly detection

Access to Document

10.1109/ISAP.2009.5352860

On-line Transformer Condition Monitoring through Diagnostics and Anomaly DetectionAccepted author manuscript, 4.28 MB

Cite this

@inproceedings{d6f4bc16f047408eb6c1876ea09e3e6c,

title = "On-line transformer condition monitoring through diagnostics and anomaly detection",

abstract = "This paper describes the end-to-end components of an on-line system for diagnostics and anomaly detection. The system provides condition monitoring capabilities for two in- service transmission transformers in the UK. These transformers are nearing the end of their design life, and it is hoped that intensive monitoring will enable them to stay in service for longer. The paper discusses the requirements on a system for interpreting data from the sensors installed on site, as well as describing the operation of specific diagnostic and anomaly detection techniques employed. The system is deployed on a substation computer, collecting and interpreting site data on-line.",

keywords = "on-line transformer, condition monitoring, diagnostics, anomaly detection",

author = "V.M. Catterson and S.E. Rudd and S.D.J. McArthur and G. Moss",

year = "2009",

month = nov,

doi = "10.1109/ISAP.2009.5352860",

language = "English",

booktitle = "ISAP '09. 15th International Conference on Intelligent System Applications to Power Systems, 2009.",

publisher = "IEEE",

note = "2009 15th International Conference on Intelligent System Applications to Power Systems , ISAP'09 ; Conference date: 08-11-2009 Through 12-11-2009",

url = "http://www.isap-power.org/",

}

Catterson, VM, Rudd, SE, McArthur, SDJ & Moss, G 2009, On-line transformer condition monitoring through diagnostics and anomaly detection. in ISAP '09. 15th International Conference on Intelligent System Applications to Power Systems, 2009. . IEEE, 9781424450978, 2009 15th International Conference on Intelligent System Applications to Power Systems , Curitiba, Brazil, 8/11/09. https://doi.org/10.1109/ISAP.2009.5352860

TY - GEN

T1 - On-line transformer condition monitoring through diagnostics and anomaly detection

AU - Catterson, V.M.

AU - Rudd, S.E.

AU - McArthur, S.D.J.

AU - Moss, G.

PY - 2009/11

Y1 - 2009/11

N2 - This paper describes the end-to-end components of an on-line system for diagnostics and anomaly detection. The system provides condition monitoring capabilities for two in- service transmission transformers in the UK. These transformers are nearing the end of their design life, and it is hoped that intensive monitoring will enable them to stay in service for longer. The paper discusses the requirements on a system for interpreting data from the sensors installed on site, as well as describing the operation of specific diagnostic and anomaly detection techniques employed. The system is deployed on a substation computer, collecting and interpreting site data on-line.

AB - This paper describes the end-to-end components of an on-line system for diagnostics and anomaly detection. The system provides condition monitoring capabilities for two in- service transmission transformers in the UK. These transformers are nearing the end of their design life, and it is hoped that intensive monitoring will enable them to stay in service for longer. The paper discusses the requirements on a system for interpreting data from the sensors installed on site, as well as describing the operation of specific diagnostic and anomaly detection techniques employed. The system is deployed on a substation computer, collecting and interpreting site data on-line.

KW - on-line transformer

KW - condition monitoring

KW - diagnostics

KW - anomaly detection

U2 - 10.1109/ISAP.2009.5352860

DO - 10.1109/ISAP.2009.5352860

M3 - Conference contribution book

BT - ISAP '09. 15th International Conference on Intelligent System Applications to Power Systems, 2009.

PB - IEEE

CY - 9781424450978

T2 - 2009 15th International Conference on Intelligent System Applications to Power Systems

Y2 - 8 November 2009 through 12 November 2009

ER -

On-line transformer condition monitoring through diagnostics and anomaly detection

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this