This research examines the profound effects of integrating IoT-enabled predictive
maintenance in sustainable transportation fleets. By using real-time sensor data, this …

This study explores the use of Internet of Things (IoT) based predictive maintenance
techniques for sustainable transportation fleets. It utilizes various datasets to enhance …

Connected vehicle fleets have formed significant component of industrial internet of things
scenarios as part of Industry 4.0 worldwide. The number of vehicles in these fleets has …

The wide adoption of smart machine maintenance in manufacturing is blocked by open
challenges in the Industrial Internet of Things (IIoT) with regard to robustness, scalability and …

In recent years, advances in information technology have led to an increasing number of
devices (or things) being connected to the internet; the resulting data can be used by …

Connected vehicle fleets are deployed worldwide in several industrial IoT scenarios. With
the gradual increase of machines being controlled and managed through networked smart …

Abstract The University of South Carolina has been involved in research for the US military
for helicopters and rotary aircraft for over 18 years. Majority of this work has been focused on …

This study provides a comprehensive review of the evolution and impact of Internet of Things
(IoT)-driven predictive maintenance, focusing on advancements in technology, their role in …

Connected vehicle fleets are deployed worldwide in several industrial internet of things
scenarios. With the gradual increase of machines being controlled and managed through …

Fleet maintenance management requires adequate data and timely information regarding
vehicle systems so that early diagnostics can be performed to avoid unscheduled …