A statistical method for evaluating electrical failures

Author

Barrett, J.S. ; Green, M.A.

Author_Institution

Ontario Hydro Technol., Toronto, Ont., Canada

Volume

9

Issue

3

fYear

1994

fDate

7/1/1994 12:00:00 AM

Firstpage

1524

Lastpage

1530

Abstract

Statistical tools have been developed for performing Bayesian analysis of electrical failures in the case of two-parameter distributions. Software implementations graphically present confidence regions for the two parameters and confidence intervals for the failure probability as a function of applied stresses. For the normal and lognormal distributions these are the same as classical confidence regions, while for Gumbel and Weibull distributions they are nearly the same. Examples are provided for the energy capacity of metal-oxide varistors and for insulator flashover probability

Keywords

Bayes methods; failure analysis; flashover; insulation testing; insulators; probability; surge protection; varistors; Bayesian analysis; Gumbel distribution; Weibull distribution; applied stresses; confidence intervals; confidence regions; electrical failures evaluation; energy capacity; failure probability; insulator flashover probability; lognormal distribution; metal-oxide varistors; normal distribution; software implementations; statistical method; two-parameter distributions; Bayesian methods; Capacity planning; Failure analysis; Metal-insulator structures; Performance analysis; Probability; Statistical analysis; Stress; Varistors; Weibull distribution;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.311215

Filename

311215