Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …

Prognostics and health management (PHM) is critical for enhancing equipment reliability
and reducing maintenance costs, and research on intelligent PHM has made significant …

Abstract Machine tools, often referred to as the “mother machines” of the manufacturing
industry, are crucial in develo** smart manufacturing and are increasingly becoming more …

The industrial application of data-driven methods for fault detection of new-design systems is
limited by the inevitable scarcity of real data. Physics-Informed Neural Networks (PINNs) can …

Accurate bearing fault diagnosis technology is highly important for ensuring the safe
operation of mechanical equipment. Fault diagnosis methods can be roughly divided into …

Single-crystal turbine blades are the core hot-end components of aero engines, typically
manufactured by investment casting through directional solidification. The stress generated …

The purpose of perimeter control is to regulate the transfer flow between the perimeters of
the urban traffic network, so that the vehicle aggregation in each region is maintained at a …

Remaining useful life (RUL) prediction has great significance in reducing operating costs
and enhancing the maintainability and safety of rolling bearings. Recently, significant …

We introduce a novel methodology for solving nonlinear partial differential equation (PDE)
on regular or irregular domains using physics-informed ConvNet, which we call the PICN …

Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …