Degradation-based modeling methods have been recognized as an essential and effective
approach for lifetime and remaining useful life (RUL) estimations for various health …

Today's fast-pace evolving and digitalizing World is posing new challenges to reliability
engineering. On the other hand, the continuous advancement of technical knowledge and …

This paper conducts a Bayesian analysis of inverse Gaussian process models for
degradation modeling and inference. Novel features of the Bayesian analysis are the natural …

This article addresses the problem of estimating the remaining useful life (RUL) of degrading
products by fusing the accelerated degradation data and condition monitoring (CM) data …

In order to achieve a longer life cycle, higher reliability is necessary for products. Generally,
the traditional reliability analysis methods can be performed based on sufficient failure data …

In this study, we investigated the sequential Bayesian inference of the Weibull distribution
parameters of the components of a system the remaining useful life of which can be …

Due to the powerful ability of artificial neural network in data fitting, it has been applied to
describe the mean function in Wiener process for degradation modeling and estimating …

The step-stress accelerated degradation test (SSADT) is a useful tool for assessing the
lifetime distribution of highly reliable or expensive product. Some efficient SSADT plans …

To improve the lifetime of mechanical system such as compressor, parametric accelerated
life testing (ALT) as a reliability methodology is suggested. It consists of (1) a parametric ALT …

The constant stress accelerated degradation test has been widely used to evaluate product
reliability when degradation measurements of product can be observed. This paper …