Study on Reliability Critical Item Analysis for Audio Interface Unit Using Highly Accelerated Life Test and Failure Modes Effects and Criticality Analysis

In this paper, we consider a constant-stress accelerated life test with competing risks for failure from exponential distribution under progressive type-II hybrid censoring. We derive the maximum likelihood estimator and Bayes estimator of the parameter and prove their equivalence under certain circumstances. Further study of the estimators indicates that missing of failure modes would result in overestimation of the mean lifetime. Finally, a Monte-Carlo simulation is performed to demonstrate the accuracy and effectiveness of the estimators.

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An accelerated life test model for solid lubricated bearings used in space based on time-varying dependence analysis of different failure modes

Acta Astronautica ◽

10.1016/j.actaastro.2018.08.027 ◽

2018 ◽

Vol 152 ◽

pp. 352-359 ◽

Cited By ~ 6

Author(s):

Chao Zhang ◽

Lingfeng Pan ◽

Shaoping Wang ◽

Xingjian Wang ◽

Mileta Tomovic

Keyword(s):

Failure Modes ◽

Accelerated Life Test ◽

Test Model ◽

Dependence Analysis ◽

Time Varying ◽

Life Test ◽

Accelerated Life

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Analysis of Accelerated Life Test Data Involving Two Failure Modes

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.211-212.1002 ◽

2011 ◽

Vol 211-212 ◽

pp. 1002-1006 ◽

Cited By ~ 1

Author(s):

R. Jiang

Keyword(s):

Shape Parameter ◽

Failure Modes ◽

Risk Model ◽

Accelerated Life Testing ◽

Accelerated Life Test ◽

Life Testing ◽

Life Test ◽

Life Distribution ◽

Accelerated Life ◽

Step Procedure

This paper presents an approach to analyze accelerated life testing (ALT) data involving two failure modes. The approach first transforms the ALT dataset into two new datasets that correspond to individual failure modes. Each transformed dataset is modeled using a two-step procedure, and the resulted models associated with individual failure modes are combined into a competing risk model. The approach is illustrated using the ALT data of industrial heaters from the literature. The analysis shows that the shape parameter of the life distribution can change with stress level.

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The copula-based method for statistical analysis of step-stress accelerated life test with dependent competing failure modes

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1177/1748006x18793251 ◽

2018 ◽

Vol 233 (3) ◽

pp. 401-418 ◽

Cited By ~ 1

Author(s):

Yicheng Zhou ◽

Zhenzhou Lu ◽

Yan Shi ◽

Kai Cheng

Keyword(s):

Statistical Analysis ◽

Failure Modes ◽

Likelihood Estimation ◽

Real Data ◽

Copula Function ◽

Accelerated Life Test ◽

Dependence Structure ◽

Life Test ◽

Copula Parameter ◽

Accelerated Life

Competing risk usually exists in engineering applications; thus, the study of the statistical inference of accelerated life testing with competing failure modes is of great significance. In this article, we address the statistical analysis of a step-stress accelerated life test in the presence of dependent competing failure modes. The dependence structure among distributions of lifetimes is constructed by copula function with unknown copula parameter. The parametric maximum likelihood estimation is developed to obtain the estimates of underlying parameters. The asymptotic standard errors and asymptotic confidence interval of estimates are also obtained by missing information principle. An extensive simulation study and a real data analysis are carried out to observe the performance of the proposed method. The results of the case studies show that our proposed method is valid and effective for the statistical analysis of step-stress accelerated life test with dependent competing failure modes.

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