Reliability Estimation of Mechanical Components Using Accelerated Life Testing Models

2009 ◽  
pp. 253-274
Author(s):  
Fabrice Guérin ◽  
M. Barreau ◽  
A. Charki ◽  
A. Todoskoff ◽  
S. Cloupet ◽  
...  
2008 ◽  
Vol 1 (2) ◽  
pp. 136-145
Author(s):  
Fabrice Guerin ◽  
Mihaela Barreau ◽  
Abderafi Charki ◽  
Alexis Todoskoff

2005 ◽  
Vol 48 (1) ◽  
pp. 103-114 ◽  
Author(s):  
O. Tebbi ◽  
F. Guérin ◽  
B. Dumon

This paper provides an overview of the application of accelerated life testing (ALT) models to mechanical components. Estimates are based upon a classical test plan using a sample system tested under accelerated conditions (not under operating conditions). The time transfer regression model is considered log-linear. The parametric model, proportional hazards (PH) model, and semiparametric model are studied. This paper illustrates an experimental example on a paper clip.


2010 ◽  
Vol 1 (2) ◽  
pp. 136-145
Author(s):  
Fabrice Guerin ◽  
Mihaela Barreau ◽  
Abderafi Charki ◽  
Alexis Todoskoff

Author(s):  
Vanderley Vasconcelos ◽  
WELLINGTON SOARES ◽  
Antonio Carlos Lopes da Costa ◽  
Raíssa Oliveira Marques

Author(s):  
Abd El-Maseh, M. P

<p>In this paper, the Bayesian estimation for the unknown parameters for the bivariate generalized exponential (BVGE) distribution under Bivariate censoring type-I samples with constant stress accelerated life testing (CSALT) are discussed. The scale parameter of the lifetime distribution at constant stress levels is assumed to be an inverse power law function of the stress level. The parameters are estimated by Bayesian approach using Markov Chain Monte Carlo (MCMC) method based on Gibbs sampling. Then, the numerical studies are introduced to illustrate the approach study using samples which have been generated from the BVGE distribution.</p>


Sign in / Sign up

Export Citation Format

Share Document