The use of predictive maintenance Machine learning techniques aid systems or machines in
lowering the occurrence of certain types of machine failures via prediction and the use of …

Integrating Deep Learning-based Predictive Maintenance (DL-PM) in Industrial Internet of
Things (IoT) applications optimizes operational efficiency and reduces downtime. This …

Extensive use of high‐end industrial properties is the current paradigm shift as an essence
to Industry 4.0. Predictive maintenance and industrial Internet of Things (IoT) discuss the …

A smart IoT platform for big data analysis in predictive maintenance can help achieve goals
of predictive maintenance by collection, processing, and analysis of data from various …

The Industrial Internet of Things (IIoT) promises to provide an expanded awareness of field
assets and equipment, access to data from across locations, and actionable insights for …

Predictive Maintenance (PdM) has emerged as a transformative paradigm within industrial
systems, addressing the inherent limitations of traditional reactive maintenance approaches …

In this study, a data driven predictive maintenance system was developed for production
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …

Improper and unnecessary maintenance actions can result in a waste of resources, time,
and money. Training and education play an important role in the successful implementation …

In an industrial setting, consistent production and machine maintenance might help any
company become successful. Machine health checking is a method of observing the status …

Digital IoT (Internet of Things) solutions for equipment condition monitoring andnew
advanced algorithms to process big data, enablethe application of predictive maintenance …