Smart manufacturing has received increased attention from academia and industry in recent
years, as it provides competitive advantage for manufacturing companies making industry …

There is an ever-increasing need to optimise bearing lifetime and maintenance cost through
detecting faults at earlier stages. This can be achieved through improving diagnosis and …

Remaining useful life (RUL) prediction, allowing for mechanical prediction maintenance,
reduces the unplanned expensive maintenance greatly. Deep learning methods have …

To improve the defect identification of eddy current detection signals for narrow lap welds,
we propose a method, which combines continuous wavelet transform (CWT) with …

Generally, the health conditions of rotating machinery are complicated and changeable.
Meanwhile, its fault labeled information is mostly unknown. Therefore, it is man-sized to …

This article focuses on the automatic detection and classification of imprint defects on the
surface of metal parts. This innovative research had collaboration with a multinational …

Featured Application The transfer strategies proposed in this paper can guide the industry to
reuse and develop the existing PHM algorithm based on deep learning under different data …

To study the mechanical properties and fracture behaviour of rock containing multiple
cavities, uniaxial compression experiments were carried out on marble specimens with three …

Analyzing the stability of footings is a significant step in civil/geotechnical engineering
projects. In this work, two novel predictive tools are suggested based on an artificial neural …

Abstract Successful applications of Diffusion Map (DM) in machine failure detection and
diagnosis have been reported in several recent studies. DM provides an efficient way to …