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

Prognostics and health management (PHM) methods aim at detecting the degradation,
diagnosing the faults and predicting the time at which a system or a component will no …

This study proposed a data mining framework for predicting sequential patterns of
maintenance activities. The framework consisted of data collection, prediction of …

In recent years, considerable research efforts have been applied in the field of fault
prognostics. However, to the authors knowledge, there are few published works that address …

Purpose The developments of complex systems have increased the demand for condition
monitoring techniques so as to maximize operational availability and safety while …

In engineering asset management, accurate failure risk estimation is essential for averting
equipment breakdowns and optimizing risk-based maintenance strategies. Data quality and …

In this paper, random forests are proposed for operating devices diagnostics in the presence
of a variable number of features. In various contexts, like large or difficult-to-access …

Prediction of the remaining useful life (RUL) of critical components is a non-trivial task for
industrial applications. RUL can differ for similar components operating under the same …

Constructing prognostics models rely upon understanding the degradation process of the
monitoredcritical components to correctly estimate the remaining useful life (RUL) …

The industry has systems and machines that need to operate within appropriate parameters
to ensure quality in production. In this context it is necessary to maintain, through …