Brownian motion (BM) has been widely used for degradation modeling and remaining
useful life (RUL) prediction, but it is essentially Markovian. This implies that the future state in …

In accelerated degradation testing (ADT), test data from higher than normal stress conditions
are used to find stochastic models of degradation, eg, Wiener process, Gamma process, and …

Accelerated degradation testing (ADT) is an efficient technique for evaluating the lifetime of
a highly reliable product whose underlying failure process may be traced by the degradation …

Degradation data collected from a single accelerated degradation testing (ADT) are usually
non-sufficient, which causes a lack of knowledge and leads to epistemic uncertainties. So …

The accelerated degradation testing (ADT) has been proven to be effective in quickly
assessing the reliability of a highly reliable product, especially during product design and …

Successful modeling of degradation data is of great importance for both accurate reliability
assessment and effective maintenance decision‐making. Many of existing degradation …

In this study, we propose an accurate reliability prediction model for high-volume complex
electronic products throughout their warranty periods by using field return data. Our model …

The wear data of piston ring-cylinder liner (PRCL) of high-power diesel engines faces the
problems of small samples, randomness, and underutilization, which leads to the wear life …

Accurately evaluating the lifespan of the Printed Circuit Board (PCB) in airborne equipment
is an essential issue for aircraft design and operation in the marine atmospheric …

In practice, degradation modeling and prognostics for a product working in field is of
importance for condition-based maintenance, meanwhile a challenging work due to the …