As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …

The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …

Remaining useful life (RUL) prediction plays a crucial role in bearing health management
which can guarantee the rotating machinery systems' safety and reliability. This paper …

The prognosis of bearings is vital for condition-based maintenance of rotating machinery.
This article proposes a systematic prognostic scheme for rolling element bearings. The …

In recent years, advances in computer technology and the emergence of big data have
enabled deep learning to achieve impressive successes in bearing condition monitoring …

Rolling-element bearing is one of the main parts of rotating equipment. In order to avoid the
mechanical equipment damage caused by the sudden failure of rolling-element bearings, it …

Deep learning with ability to feature learning and nonlinear function approximation has
shown its effectiveness for machine fault prediction. While, how to transfer a deep network …

Modern engineered systems generally work under complex operational conditions.
However, most of the existing artificial intelligence (AI)-based prognostic methods still lack …

The remaining useful life (RUL) prediction of bearings has great significance in the
predictive maintenance of mechanical equipment. Owing to the difficulty of collecting …

The accurate probabilistic prediction of remaining useful life (RUL) of bearings plays an
important role in ensuring the safe operation of wind turbine maintenance decision making …