The Assessment of Transformer Status Based on Gray Theory

According to the transformer status assessment results, the corresponding maintenance strategy can reduce maintenance costs, improve reliability of the transformer and extend service deadline and service life of the transformer. Since transformers can be seen as a typical gray system, the method of...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 511-512; no. Sensors, Mechatronics and Automation; pp. 1147 - 1152
Main Authors Chang, Jing, Huang, Jia Dong, Song, Peng, Han, Ting Jian
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.02.2014
Subjects
Assessments
Clustering
Decision analysis
Maintenance
Service life
Strategy
Transformers
Weight function
Gray Clustering Decision
Status Assessment
Gray System
Transformer
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Summary:According to the transformer status assessment results, the corresponding maintenance strategy can reduce maintenance costs, improve reliability of the transformer and extend service deadline and service life of the transformer. Since transformers can be seen as a typical gray system, the method of gray clustering decision is proposed to assess transformer status. This article established the whitening weight function, analyzed the status information which is involved in transformer status assessment and gave the steps of gray clustering decision.
Bibliography:Selected, peer reviewed papers from the 2013 International Conference on Sensors, Mechatronics and Automation (ICSMA 2013), December 24-25, 2013, Shenzhen, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISBN:9783038350170
3038350176
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.511-512.1147