NDLI: Power transformer lifetime modeling

Content Provider	IEEE Xplore Digital Library
Author	Dan Zhou Chengrong Li Zhongdong Wang
Copyright Year	2012
Description	Author affiliation: North China Electric Power University, Beijing, China (Dan Zhou; Chengrong Li)
Abstract	As large proportions of power transformers are approaching or have exceeded their design life, concerns have aroused at their impact on the reliability of power networks, and forward replacement planning/budgeting is therefore required. In this paper, an appropriate transformer lifetime model is recognized as the key for the accurate replacement volume prediction. Since transformer failures are rare events in most of the electric utilities, industry-wide reliability data reflecting global perspective on transformer lifetime are recognized as good sources for formulating baseline models. A Bayesian Updating procedure is then proposed to incorporate the prior knowledge on the distribution of transformer lifetime (the baseline model) with available field failure data. Sequentially updating the model whenever new failure occurs allows the existing lifetime model to be improved in a progressive manner.
Starting Page	1
Ending Page	7
File Size	1749262
Page Count	7
File Format	PDF
ISBN	9781457719097
ISSN	21665656
e-ISBN	9781457719110
e-ISBN	9781457719103
DOI	10.1109/PHM.2012.6228952
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	power transformer Bayesian methods asset management Predictive models Hazards Power transformers Reliability Indexes bayesian updating lifetime model replacement Standards
Content Type	Text
Resource Type	Article

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