Abstract Predictive Maintenance (PdM) methods aim to facilitate the scheduling of
maintenance work before equipment failure. In this context, detecting early faults in …

The scheduled maintenance of industrial equipment is usually performed with a low
frequency, as it usually leads to unpredicted downtime in business operations …

Malfunctions in machines require equipment engineers to conduct fault diagnostic. The fault
diagnostics is traditionally reliant on the skills and experiences of the equipment operators …

Predictive maintenance is an essential aspect of the concept of Industry 4.0. In contrast to
previous maintenance strategies, which plan repairs based on periodic schedules or …

In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …

The pervasive digital innovation of the last decades has led to a remarkable transformation
of maintenance strategies. The data collected from machinery and the extraction of valuable …

The predictive maintenance of electrical machines is a critical issue for companies, as it can
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …

The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …

The proliferation of sensing technologies such as sensors has resulted in vast amounts of
time-series data being produced by machines in industrial plants and factories. There is …

The downtime of industrial machines, engines, or heavy equipment can lead to a direct loss
of revenue. Accurate prediction of such failures using sensor data can prevent or reduce the …