In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …

Facility operations and maintenance are defined as the functions, duties, and labor required
daily to operate and preserve a facility asset to ensure its original function is available for its …

Accurate detection of possible machine failure allows manufacturers to identify potential fault
situations in processes to avoid downtimes caused by unexpected tool wear or …

With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …

Recent development in the predictive maintenance field has focused on incorporating
artificial intelligence techniques in the monitoring and prognostics of machine health. The …

The widespread adoption of cyber-physical systems and other cutting-edge digital
technology in manufacturing industry production facilities may motivate stakeholders to …

In recent years, the introduction and exploitation of innovative information technologies in
industrial contexts have led to the continuous growth of digital shop floor environments. The …

The treatment of big data as well as the rapid improvement in the speed of data processing
are facilitated by the parallelization of computations, cloud computing as well as the …

This paper highlights the trends in the field of predictive maintenance with the use of
machine learning. With the continuous development of the Fourth Industrial Revolution …

The improvement of fault prediction and diagnosis in industrial systems is crucial to minimize
unscheduled shutdowns. However, the predictive performance of current models for thermal …