Title :
On-line Transformer Condition Monitoring through Diagnostics and Anomaly Detection
Author :
Catterson, V.M. ; Rudd, S.E. ; McArthur, S.D.J. ; Moss, G.
Author_Institution :
Inst. for Energy & Environ., Univ. of Strathclyde, Glasgow, UK
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 :
computerised monitoring; condition monitoring; data acquisition; power engineering computing; power system measurement; power transformers; software agents; substations; anomaly detection; on-line transformer condition monitoring; service transmission transformer; substation computer; Computerized monitoring; Condition monitoring; Dissolved gas analysis; Fault diagnosis; Machine learning; Multiagent systems; Partial discharges; Sensor phenomena and characterization; Sensor systems; Substations;
Conference_Titel :
Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4244-5097-8
DOI :
10.1109/ISAP.2009.5352860