Rolling bearings are a leading cause of equipment breakdowns in electrical machines,
underscoring the significance of predictive maintenance strategies. However, the given …

This article presents a study on condition monitoring and predictive maintenance,
highlighting the importance of tracking ball bearing condition to estimate their Remaining …

As the demand for sustainable energy solutions grows, there is a critical requirement for
continuous innovation to optimize the performance and safety of renewable energy systems …

Advanced rail transit systems (ARTS), including high-speed rail and maglev trains, provide
enhanced transportation options to meet the growing demand for efficient transportation …

Traditional maintenance strategies risk unforeseen failure, sophisticated physics-based
modeling, and manual feature extraction. Early detection and accurate predictions of …

Parallel to the advancements in technologies that form the core of Industry 4.0, there is an
accelerated use of digital twins in many industries. Digital twin utilization aims at various …

Over the past decades, deep learning techniques have attracted increased attention from
various research and industrial domains aligned with the development of Industry Internet-of …

This research paper explores the integration of novel technologies in hospital emergency
evacuations, particularly in Operating Rooms (ORs) and Emergency Departments (EDs). It …

Digital twins need efficient methodologies to design maintenance strategies for decision-
making purposes. Recently, a methodology coupling computational simulation and …

District heating is one of the main strategies for providing heat supply for buildings in cold
climate countries. However, large parts of the current prefabricated pipes of these networks …