Quantitative Accelerated Life Testing (QALT) is a solution for assessing thereliability of Micro Electro Mechanical Systems (MEMS). A procedure for QALT is shownin this paper and an attempt to assess the reliability level for a batch of MEMSaccelerometers is reported. The testing plan is application-driven and contains combinedtests: thermal (high temperature) and mechanical stress. Two variant...

This paper describes a methodology to conduct a sequential test defined by an optimal accelerated testing plan. This test plan is based on an economic approach defined in previous work, a prior knowledge on reliability parameters (choice of reliability function, scale and shape parameters ...) and acceleration model (choice of model, model parameters ...) to evaluate the proportions of failure ...

where T0 is the so-called baseline life time and T is the observable life time. We will assume that T is an absolute continuous random variable (r.v.) and that the covariate X does not depend on the time. For simplicity of presentation let X be one-dimensional. For statistical application a suitable choice of the acceleration function is important and the problem of testing ψ arises. A survey o...

Sometimes the amount of time available for testing could be considerably less than the expected lifetime of the component. To overcome such a problem, there is the accelerated life-testing alternative aimed at forcing components to fail by testing them at much higher-than-intended application conditions. These models are known as acceleration models. One possible way to translate test results o...

The data analysis problem of step-stress accelerated life testing with exponential distribution is discussed. At the step-stress accelerated life testing conditions, an approximate E-Bayesian parameter estimation of step-stress accelerated life testing with exponential distribution is given by considering the prior distributions of the hyperparameters and using Gibbs sampling method. Finally, a...