Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

The Fourth Industrial Revolution, also named Industry 4.0, is leveraging several modern
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …

Mining equipment is a critical component in the success of mining operations, and
unplanned downtime can be costly. Efficient and intelligent maintenance planning is …

IoT (IIoT) enables machines, people, cloud computing and analytics to function together,
improving the performance and productivity of industrial processes. Earlier maintenance of …

Ensuring precise prediction of the remaining useful life (RUL) for bearings in rolling
machinery is crucial for preventing sudden machine failures and optimizing equipment …

The advancements in the Internet of Things (IoT) and Machine Learning (ML) have enabled
significant improvements in Predictive Maintenance (PdM) in industries, providing economic …

This article focuses on the development of a personalized federated learning (PFL) edge
training platform that ensures privacy during gradient transmission (both uploading and …

Contemporary manufacturing system design centres on the Industry 4.0 paradigm. A
versatile platform secondary the efficient optimisation of manufacturing-related activities …

Predictive maintenance aims to minimize downtime and component costs by predicting
machine failures. However, the implementation of such a failure prediction system poses …

The paper is devoted to the development of a technique for classifying failures in predictive
maintenance based on machine learning on aggregated data. A feature of the proposed …