The determination of mechanical properties plays a crucial role in utilizing composite
materials across multiple engineering disciplines. Recently, there has been substantial …

The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …

Abstract The Industrial Revolution can be termed as the transformation of traditional
industrial practices into new techniques dominated by the technologies available at that …

Smart manufacturing refers to using advanced data analytics to complement physical
science for improving system performance and decision making. With the widespread …

A variety of data-driven methods have been proposed to predict remaining useful life (RUL)
of key component for rolling bearings. The accuracy of data-driven RUL prediction model …

Data-driven techniques, especially on artificial intelligence (AI) such as deep learning (DL)
techniques, have attracted more and more attention in the manufacturing sector because of …

Rolling element bearings are essential components of a wide variety of industrial machinery
and the leading cause of equipment failure. The prediction of Remaining Useful Life (RUL) …

Deep learning has attracted intense interest in Prognostics and Health Management (PHM),
because of its enormous representing power, automated feature learning capability and best …

Remaining useful life (RUL) prediction is extremely significant to ensure the safe and
reliable operation for bearing suffering from the deterioration. The main focus of the RUL …

Abstract A new Switching Unscented Kalman Filter (SUKF) algorithm is proposed. The
corresponding state-space models for each kind of bearing operation state are established …