Accelerated Life Testing (ALT) Design Based on Computational Reliability Analysis

2015 ◽  
Vol 32 (7) ◽  
pp. 2217-2232 ◽  
Author(s):  
Zhen Hu ◽  
Sankaran Mahadevan
Keyword(s):  
Reliability Analysis ◽  
Accelerated Life Testing ◽  
Life Testing ◽  
Accelerated Life ◽  
Computational Reliability

Bayesian reliability analysis using the Dirichlet prior distribution with emphasis on accelerated life testing run in random order

1997 ◽  
Vol 30 (7) ◽  
pp. 4415-4423 ◽  
Author(s):  
Ian F. Somerville ◽  
Duane L. Dietrich ◽  
Thomas A. Mazzuchi
Keyword(s):  
Reliability Analysis ◽  
Prior Distribution ◽  
Random Order ◽  
Accelerated Life Testing ◽  
Life Testing ◽  
Accelerated Life ◽  
Dirichlet Prior

Physical model based reliability analysis for accelerated life testing of a fuel supply system

Fuel ◽  
2016 ◽  
Vol 182 ◽  
pp. 340-351
Author(s):  
Elmar Pohl ◽  
Roy T.E. Hermanns
Keyword(s):  
Reliability Analysis ◽  
Physical Model ◽  
Supply System ◽  
Accelerated Life Testing ◽  
Life Testing ◽  
Fuel Supply ◽  
Model Based ◽  
Accelerated Life ◽  
Fuel Supply System

ACCELERATED LIFE TESTING OF COMPONENTS OF NUCLEAR RESEARCH REACTORS

2016 ◽  
Author(s):  
Vanderley Vasconcelos ◽  
WELLINGTON SOARES ◽  
Antonio Carlos Lopes da Costa ◽  
Raíssa Oliveira Marques
Keyword(s):  
Nuclear Research ◽  
Accelerated Life Testing ◽  
Life Testing ◽  
Research Reactors ◽  
Accelerated Life

Highly Accelerated Life Testing (HALT)

2004 ◽  
pp. 123-138
Author(s):  
Alex Porter
Keyword(s):  
Accelerated Life Testing ◽  
Life Testing ◽  
Accelerated Life

Road Load Identification and Accelerated Life Testing of Engine Mounts

2017 ◽  
Vol 41 (3) ◽  
pp. 267-277
Author(s):  
U.E. Ozturk ◽  
L. Ucar
Keyword(s):  
Accelerated Life Testing ◽  
Load Identification ◽  
Life Testing ◽  
Engine Mounts ◽  
Road Load ◽  
Accelerated Life

scholarly journals Bayesian estimation of the parameters of the bivariate generalized exponential distribution using accelerated life testing under censoring data

2015 ◽  
Vol 3 (2) ◽  
pp. 215
Author(s):  
Abd El-Maseh, M. P
Keyword(s):  
Bayesian Estimation ◽  
Accelerated Life Testing ◽  
Constant Stress ◽  
Type I ◽  
Life Testing ◽  
Unknown Parameters ◽  
Numerical Studies ◽  
Inverse Power Law ◽  
Accelerated Life ◽  
Power Law Function

<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>

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