The collection, organisation and analysis of large amount of data (Big Data) in different
application domains still require the involvement of experts for the identification of relevant …

How are recent developments in areas such as Big Data, the Internet of Things, Predictive
Technologies and Predictive Analytics impacting on traditional Preventive Maintenance and …

Predictive maintenance is regarded by many as a key factor in Industrial Internet of Things
(IIoT) and the development of “smart” factories. With the growing use of sensors and …

This work presents the evolution of a solution for predictive maintenance to a Big Data
environment. The proposed adaptation aims for predicting failures on wind turbines using a …

Energy consumption is a critical issue, with $500 billion spent annually in US alone on
energy. Energy-centered maintenance (ECM) is a continuous improvement maintenance …

Billions of interconnected Internet of Things (IoT) sensors and devices collect tremendous
amounts of data from real-world scenarios. Big data is generating increasing interest in a …

In the current manufacturing world, the role of maintenance has been receiving increasingly
more attention while companies understand that maintenance, when well performed, can be …

In laser cutting processes, cutting failure is one of the most common causes of faulty
productions. Monitoring cutting failure events is extremely complex, as failures might be …

In manufacturing, users increasingly demand comprehensive maintenance service in their
production equipment in order to ensure high availability and to prevent downtimes in critical …

Summary Both'machine‐to‐machine (M2M) systems' and'Internet of Things (loT)'are broad
terms that are sometimes used interchangeably, and there is little point in debating where …