The changing nature of manufacturing, in recent years, is evident in industry's willingness to
adopt network-connected intelligent machines in their factory development plans. A number …

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …

Prognostic Health Management (PHM) is a predictive maintenance strategy, which is based
on Condition Monitoring (CM) data and aims to predict the future states of machinery. The …

Data management and processing to enable predictive analytics in cyber physical systems
holds the promise of creating insight over underlying processes, discovering anomalous …

Monitoring and maintaining equipment and production lines ensure stable production by
detecting and resolving abnormalities immediately. In the Industrial Internet, operational …

Current advances in the Internet of Things (IoT) and Cloud involve the presence of an
additional layer between them acting as mediator for data transfer and processing in close …

Industrial anomaly detection, which relies on the analysis of industrial internet of things (IIoT)
sensor data, is a critical element for guaranteeing the quality and safety of industrial …

Predictive maintenance aims to anticipate indus-trial equipment failures in order to allow
early scheduling of corrective actions. Such a maintenance approach is based on a detailed …

Industry 4.0 must respond to some challenges such as the flexibility and robustness of
unexpected conditions, as well as the degree of system autonomy, something that is still …