Prediction of system reliability using failure types of components based on Weibull lifetime distribution

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

PDF
Published Jul 14, 2017
DOI https://doi.org/10.36001/phmap.2017.v1i1.1859
Hee Yang Ko
Department of Industrial and Management Engineering, Kyonggi University, Gyeonggi-do, 16227, Korea
Si-Il Sung
Department of Industrial and Management Engineering, Inje University, Gyeongsangnam-do, 50834, Korea
Yong Soo Kim
Department of Industrial and Management Engineering, Kyonggi University, Gyeonggi-do, 16227, Korea

Abstract

Nowadays, products are complicated and standards of reliability are higher than ever before. In contrast, the time available for developing products has gradually decreased. In this context, assessment of the system reliability of products is an active field of study. In this paper, an experimental design was used to investigate the effect of the failure type of components on the whole system’s failure type. For this, a general procedure for estimating system reliability based on the Weibull distribution was adopted.

Abstract 26 | PDF Downloads 42

##plugins.themes.bootstrap3.article.details##

Keywords

PHM

References
Chao, A., (1981). Approximate mean squared errors of estimators of reliability for k-out-of-m systems in the independent exponential case. Journal of the American Statistical Association, vol. 76, pp. 720-724.
Rutemiller, H. C., (1966). Point Estimation of Reliability of a System Comprised of k Elements from the Same Exponential Distribution. Journal of the American Statistical Association, vol. 61, pp. 1029-1032.
Gonzalez-Lopez, V. A., Gholizadeh, R., & Galarza, C. E. (2016). E-bayesian estimation for system reliability and availability analysis based on exponential distribution. Communications in Statistics-Simulation and Computation, online first version.
Issue
Vol. 1 No. 1 (2017): Proceedings of the Asia Pacific Conference of the PHM Society 2017
Section
Regular Session Papers