Digital Twin (DT) is acknowledged as a promising technology for life-cycle management of
industrial products. Rolling bearings, the joints of machines, are largely responsible for the …

Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …

Deep transfer learning is used to solve the problem of unsupervised intelligent fault
diagnosis of rolling bearings. However, when the data distribution between two domains is …

Scientific research on emerging technologies underscored the advantages of their
implementation within production systems, with a particular focus on artificial intelligence …

Industry 5.0 is the next stage in industrial evolution, collaborating between human ingenuity
and intelligent technologies to provide manufacturing solutions. Integrating modern …

Recently, condition monitoring (CM) and fault detection and diagnosis (FDD) techniques for
rotating machinery (RM) have witnessed substantial advancements in recent decades …

This study delves into the integration of Artificial Intelligence (AI) within the field of health
informatics and its transformative effect on public health outcomes in Africa. It will cover how …

Component reliability plays a pivotal role in industrial systems, which are evolving with
larger complexity and higher dimensionality of data. It is insufficient to ensure reliability and …

Gear fault diagnosis (GFD) based on vibration signals is a popular research topic in industry
and academia. This paper provides a comprehensive summary and systematic review of …

The early identification of a defect that is developing in a bearing is crucial for avoiding
failures in rotating machinery. Frequency domain analysis of the vibration signals has been …