Reliability field data such as that obtained from warranty claims and maintenance records
have been used traditionally for such purposes as generating predictions for warranty costs …

Degradation models have become an important analytic tool for complex systems. During
the last two decades, a number of degradation models have been developed to capture the …

Most industrial products degrade with usage. To capture degradation patterns and schedule
condition-based maintenance actions, it is necessary to model the degradation process and …

Consider a coherent system, in which the degradation processes of its performance
characteristics are positively correlated, this paper systematically investigates a bivariate …

Degradation of products in field depends heavily on the external operating environment. The
external factors, such as temperature and working load, are often time-varying or stochastic …

Nowadays multiple sensors are widely used to simultaneously monitor the degradation
status of a unit. Because those sensor signals are often correlated and measure different …

This paper presents a reliability modeling and analysis framework for load-sharing systems
with identical components subject to continuous degradation. It is assumed that the …

Big data features not only large volumes of data but also data with complicated structures.
Complexity imposes unique challenges on big data analytics. Meeker and Hong (2014; …

Degradation data have been broadly used for assessing product and system reliability. Most
existing work focuses on modeling and analysis of degradation data with a single …

This paper explains the fusion of the physics-based material degradation mechanism with
the statistics-based data modeling approach for predicting the degradation rate of …