Estimation of failure rate and its applications in reliability engineering

Author

Han, Ming

Author_Institution

Dept. of Math. & Phys., Fujian Univ. of Technol., Fuzhou, China

fYear

2012

fDate

15-18 June 2012

Firstpage

924

Lastpage

928

Abstract

This article introduces a new parameter estimation method, named E-Bayesian estimation method, to estimate failure rate derived from exponential distribution, in the case of data with only one failure. Firstly, the definition of E-Bayesian estimation is provided. Moreover, formulas of E-Bayesian estimation and hierarchical Bayesian estimation are provided. Secondly, properties of E-Bayesian estimation are discussed. Finally, the calculated results of a practical problem show that the proposed method is feasible and convenient in engineering application.

Keywords

Bayes methods; estimation theory; exponential distribution; failure analysis; parameter estimation; reliability theory; E-Bayesian estimation method; exponential distribution; failure rate estimation; hierarchical Bayesian estimation; parameter estimation method; reliability engineering; Bayesian methods; Density functional theory; Estimation; Exponential distribution; Reliability theory; Testing; E-Bayesian estimation; data with only one failure; exponential distribution; failure rate; hierarchical Bayesian estimation; reliability engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-0786-4

Type

conf

DOI

10.1109/ICQR2MSE.2012.6246376

Filename

6246376