Shuaiming Su

The University of Hong Kong | HKU · Department of Industrial and Manufacturing Systems Engineering

Deep learning has been employed widely in bearing fault diagnosis. However, in industry, sufficient and complete fault samples are hard to acquire and the working conditions vary frequently, which result in significant diagnosis performance deterioration. To solve these problems, a fully dynamic model and subdomain adaptation based intelligent faul...

The construction industry has a great impact on social and economic development because of its wide coverage and a large number of stakeholders involved. It is precisely owing to its large volume that technological innovation of the construction industry is relatively slow. The birth and rapid development of digital twins brings more hope to the co...

The vibration responses of cylindrical roller bearings can be affected by the surface texture on raceways, which includes surface waviness and roughness. Thus, it is very important to develop a dynamic model which can describe the surface texture comprehensively and simulate vibration responses of bearings accurately at high rotating speed. In this...

The generation of defects has a great influence on the vibration characteristic of roller bearings. Thus, it is very important to analyze the vibration mechanism of bearings with different kinds of defects by dynamic models which can make systematic descriptions of truly dynamic behavior. In this paper, dynamic models are developed based on the mod...