Diagnostic Methods for Transformers

Robert Schwarz*, Hans Michael Muhr

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

In electrical networks are power transformers as interface between different voltage levels of essential importance.
Due to the long manufacture process they are one of the most critical and expensive equipment and so this is one of the reasons why condition monitoring becomes more popular. Monitoring
systems as basis for diagnostics open the possibility for expanding the operating time, reducing the risk of expensive failures and allows several maintenance strategies. With different monitoring
techniques detailed information about the transformer condition can be received and helps to minimize the probability of an unexpected outage. As a traditional monitoring and diagnose
techniques for transformer condition is the periodic sample of the transformer oil and to carry out a dissolved gas analysis.
This paper gives an overview about different monitoring and diagnostic methods and techniques. With these systems significant parameters are recorded. Based on these measured
variables conclusions of the future behaviour of the technical resources can be made. New developments in the area of signal measuring and conditioning, data processing and analysing as
well as environmental aspects make a more precise and detailed condition evaluation possible.
Original languageEnglish
Title of host publication Proceedings of 2008 International Conference on Condition Monitoring and Diagnosis
Subtitle of host publicationCMD 2008
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages974-977
ISBN (Print)978-1-4244-1621-9
Publication statusPublished - 2008
Event2nd International Conference on Condition Monitoring and Diagnosis: CMD 2008 - Peking, China
Duration: 21 Apr 200824 Apr 2008

Conference

Conference2nd International Conference on Condition Monitoring and Diagnosis
Abbreviated titleCMD 2008
Country/TerritoryChina
CityPeking
Period21/04/0824/04/08

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