Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

An outlier is a datum that is far from other data points in which it occurs. It can have a
considerable impact on the output. Therefore, removing or resolving it before the analysis is …

This paper presents the best computational modeling (AI/ML and Quantum Computing)
methods to predict the performance optimization of predictive maintenance and …

Traditional maintenance approaches often result in either premature replacement of
machine parts or downtime in production lines due to malfunctions. Consequently, these …

The next generation of mobile broadband communication, 5G, is seen as a driver for the
industrial Internet of things (IIoT). The expected 5G-increased performance spanning across …

This article proposes the development of a novel tool that allows real-time monitoring of the
balance of a press during the stamping process. This is performed by means of a virtual …

Anomaly detection is critical in the smart industry for preventing equipment failure, reducing
downtime, and improving safety. Internet of Things (IoT) has enabled the collection of large …

The research on methods for monitoring sheet metal stamping is benefiting from the
increased availability of enabling technologies such as sensors, data mining software, cloud …

This article aims to present the real-world implementation of an anomaly detection system of
a hydraulic power unit. Implementation involved the Internet of Things approach. A detailed …