Title :
Getting the most out of historic reliability data
Author :
Feng, Dongyin ; Wang, Zhongdong ; Jarman, Paul
Author_Institution :
Univ. of Manchester, Manchester, UK
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.
Keywords :
power transformers; reliability; stochastic processes; Poisson processes; confidence band analysis; hazard rate; power transformer historic reliability data; statistical analysis; Reliability; confidence band; hazard rate; poisson distribution; transformer reliability;
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
DOI :
10.1109/PHM.2012.6228953