Getting the most out of historic reliability data

Dongyin Feng, Zhongdong Wang, P Jarman

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

280 Downloads (Pure)

Abstract

In this paper, an intensive statistical analysis on the {UK} transmission power transformer historic reliability data is presented. It is shown that deriving the reliability of transformer at a certain age by simply calculating the hazard rate is inadequate, as the hazard rate in each age has a statistical range in which the confidence band width is related to the amount of the reliability data involved in that age. Since the post-mortem investigations on the failed units have verified that all failures up till now follow random failure mechanism, a general hazard rate of 0.27\% with standard deviation of 0.03\% has been derived for the {UK} transmission power transformers based on all the reliability data available. In term of data sufficiency, as supported by the hazard rate's confidence band analysis, only if the number of transformer at one age is more than 200 should the calculated hazard rate be reliable.
Original languageEnglish
Title of host publicationPrognostics and System Health Management (PHM), 2012 IEEE Conference on
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012 - Beijing
Duration: 1 Jul 2012 → …

Conference

Conference2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012
CityBeijing
Period1/07/12 → …

Keywords

  • confidence band
  • confidence band analysis
  • hazard rate
  • poisson distribution
  • Poisson processes
  • power transformer historic reliability data
  • power transformers
  • reliability
  • statistical analysis
  • stochastic processes
  • transformer reliability

Fingerprint

Dive into the research topics of 'Getting the most out of historic reliability data'. Together they form a unique fingerprint.

Cite this