Most of the reported prognostic techniques use a small number of condition indicators
and/or use a thresholding strategies in order to predict the remaining useful life (RUL). In this …

Reliability of prognostics and health management systems relies upon accurate
understanding of critical components' degradation process to predict the remaining useful …

Maintenance combines various methods, tools, and techniques in a bid to reduce
maintenance costs while increasing the reliability, availability, and security of equipment …

Prognostics is a major activity in the field of prognostics and health management. It aims at
increasing the reliability and safety of systems while reducing the maintenance cost by …

We often observe in practice that the life of a piece of production equipment can be divided
into two stages. The first stage is referred to as the normal working stage where no …

This paper presents the application of a state space model (SSM) for prognostics of an
engineering system subject to degradation. A health index (HI) is inferred from a set of …

Scientific research in the area of fault prognosis is increasingly focused on estimating the
Remaining Useful Life of equipment, since its knowledge is a key input to the scheduling of …

Over recent years a significant amount of research has been undertaken to develop
prognostic models that can be used to predict the remaining useful life of engineering …

Many machine learning algorithms and models have been proposed in the literature for
predicting the remaining useful life (RUL) of systems and components that are subject to …

Remaining useful life prediction of a system is one of the most important and critical items to
achieve the optimal condition-based maintenance for availability and reliability increase …