This article aims to present a comprehensive review of the recent efforts and advances in
applying machine learning (ML) techniques in the area of diagnostics and prognostics of …

Degradation modeling plays an important role in system health diagnosis and remaining
useful life (RUL) prediction. Recently, a class of Wiener process models with adaptive drift …

An unsuitable type of degradation trend function in the Wiener process-based degradation
model will negatively influence its performance when calculating remaining useful life (RUL) …

Reliability engineering plays an important role in the design, manufacture, maintenance,
and replacement of industrial products. Over the last few decades, accelerated degradation …

This paper is focused on lifetime analysis based on accelerated degradation testing (ADT),
considering the influence of stress and measurement errors. The traditional approach of …

Accurate estimation and prediction of the state-of-health (SOH) and remaining useful life
(RUL) are fundamental to optimal maintenance strategies formulation for prognostics and …

Reliability evaluation is highly significant for the safe and reliable service of rolling bearings.
It is to accurately reflect degradation states of rolling bearings. However, traditional methods …

Battery prognostics and health management (PHM) is essential for lithium-ion batteries in
electric vehicles. In the battery PHM, accurate estimation of the battery state-of-health (SOH) …

Remaining useful life (RUL) prediction is fundamental to prognostics and health
management (PHM). Considering the advantages of both model-based and data-driven …

Remaining useful life (RUL) prediction is a core of prognostics and health management
(PHM), which is beneficial to arranging preventive maintenance and avoiding sudden …