Integrating prognostics to a real application requires a certain maturity level and for this
reason there is a lack of success stories about development of a complete Prognostics and …

In the context of Industry 4.0, smart factories use advanced sensing and data analytic
technologies to understand and monitor the manufacturing processes. To enhance …

Industry 4.0 is the latest technological age, in which recent technological developments are
being integrated within industrial systems. Consequently, maintenance management of …

In prognostics approaches, features (eg, vibration level, root mean square or outputs from
signal processing techniques) extracted from the measurement (eg, vibration, current, and …

It is necessary to develop advanced fault prognostics techniques for improving maintenance
planning and scheduling to avoid unexpected shutdowns, additional expenses and …

Various approaches for prognostics have been developed, and data-driven methods are
increasingly applied. The training step of these methods generally requires huge datasets to …

Manufacturing and energy sectors provide vast amounts of maintenance data and
information which can be used proactively for performance monitoring and prognostic …

Prognostics and Health Management (PHM) aims at extending the life cycle of engineerin
gassets, while reducing exploitation and maintenance costs. For this reason, prognostics is …

Estimating remaining useful life (RUL) of critical machinery is a challenging task. It is
achieved through essential steps of data acquisition, data pre-processing and prognostics …

This paper presents an approach and the presented solution of the questions raised in the
IEEE PHM 2012 Conference Challenge Competition. What was given (known) is the real run …