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Power converter failure rate prediction by bayesian analyses
Author(s) -
Hart Louis,
Heller Barry
Publication year - 1996
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/(sici)1099-1638(199609)12:5<365::aid-qre43>3.0.co;2-7
Subject(s) - failure rate , reliability (semiconductor) , probability density function , bayesian probability , power (physics) , reliability engineering , cumulative distribution function , computer science , mathematics , statistics , engineering , physics , quantum mechanics
In this study, the authors will investigate five methods for predicting the failure rate of a modified, upgraded version of a switching power converter. Considerable data were available on the operational reliability of the original version of this power converter and three others of a similar design. We will predict not a single, point estimate of the failure rate through each method, but rather obtain a probability density distribution in each case. The associated cumulative density function would then show the probability that the power converter's failure rate exceeded any particular, chosen value.