Often, manufacturing equipment is utilized without a planned maintenance approach. Such
a strategy frequently results in unplanned downtime, owing to unexpected failures …

This paper describes an example of an explainable AI (Artificial Intelligence)(XAI) in a form
of Predictive Maintenance (PdM) scenario for manufacturing. Predictive maintenance has …

Predictive maintenance of production lines is important to early detect possible defects and
thus identify and apply the required maintenance activities to avoid possible breakdowns …

The emergence of Industry 4.0 and the rapid advances in the Industrial Internet of Things
(IIoT) have provided manufacturers with the ability to remotely monitor the process by …

The industrial world is amid a revolution, titled Industry 4.0, which entails the use of IoT
technologies to enable the exchange of information between sensors, industrial machines …

Technological advancements are the main drivers of the healthcare industry as it has a high
impact on delivering the best patient care. Recent years witnessed unprecedented growth in …

With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …

Effective predictive maintenance (PdM) strategy is needed in microelectronic manufacturing
to reduce cost and loss of cycle time associated with unplanned maintenance events in fab …

Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …

The emergence of Industry 4.0 has led to a wide use of sensors which have facilitated
manufacturing operations. Predictive maintenance has significantly benefited from these …