This review focuses on the definitions, modalities, applications, and performance of various
aspects of digital twins (DTs) in the context of transmission and industrial machinery. In this …

Tool condition monitoring (TCM) systems have evolved into an essential requirement for
contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and …

Tool wear monitoring (TWM) is essential for enhancing the machining accuracy of intelligent
manufacturing systems and ensuring the consistency and reliability of products. The …

Energy poses a significant challenge in the industrial sector, and the abundance of data
generated by Industry 4.0 technologies offers the opportunity to leverage Artificial …

In the milling process of large-scale critical parts of energy equipment, the rigidity of the tool
can be lower than that of workpieces, which makes it easy to trigger tool chatter. When the …

In recent years, artificial intelligence technology has seen increasingly widespread
application in the field of intelligent manufacturing, particularly with deep learning offering …

In the context of urban sustainability and the development of resilient cities, the use of 4D
geospatial data and the integration and association of building information with …

Proactive maintenance is a policy aimed at identifying the root cause of failure and
correcting it before it causes other problems and leads to machinery failure and breakdown …

It is of great significance to study the deep integration of manufacturing technology and new-
generation information communication technology under vibration interference of machine …

To effectively monitor the nonlinear wear variation of tools during the processing of titanium
alloys, this study proposes a hybrid deep neural network fault diagnosis model that …