Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

Abnormal mechanical properties of Francis turbine units (FTUs) lead to unstable output
power and operation fault, and may cause catastrophic hazards. At present, computational …

Purpose Maintenance represents an indispensable role in the productive sector of the steel
industry. The increasing use of operating with a high level of precision makes hydraulic …

Abstract Rolling Bearing Compound Fault (RBCF) is characterized by randomness,
sequentiality, coupling, and concealment, which is one of the primary causes for …

Extracting knowledge and constructing domain knowledge graphs from used vehicle
maintenance records can reveal the mechanism of faults. However, maintenance records …

Poaching poses a significant threat to wildlife and their habitats, necessitating advanced
tools for its prediction and prevention. Existing tools for poaching prediction face challenges …

The maintenance and upkeep of hydraulic systems play a pivotal role in various industrial
applications, from manufacturing processes to heavy machinery operations. Traditional …

Industry 4.0 enables the modernisation of machines and opens up the digitalisation of
processes in the manufacturing industry. As a result, these machines are ready for predictive …

This research introduces unique techniques for improving preventative servicing of heavy
equipment using a real-time leak-detecting system for hydraulic fluid. The technology …

Predictive maintenance has become a highly favored application in Industry 4.0, particularly
in complex systems with requirements for reliability, robustness, and performance. Aircraft …