Welding defect detection in the manufacturing of hot water tanks is still often performed by
human visual inspection or with the help of classical non-destructive tests such as liquid …

Time series data generated by manufacturing machines during processing is widely used in
mass part production to assess if processes run without errors. Systems that make use of this …

The power grid is a constant target for attacks as they have the potential to affect a large
geographical location, thus affecting hundreds of thousands of customers. With the advent of …

In today's manufacturing landscape, Digital Twins play a pivotal role in optimising processes
and deriving actionable insights that extend beyond on-site calculations. These dynamic …

Anomaly detection has an important role in industrial systems. Abnormal situations occurring
in a system cause anomalies, and the anomalies reduce system performance over time, and …

In recent years, the welding industry has witnessed the integration of numerous automation
and intelligent technologies, driven by the challenging working conditions inherent in the …

In practice, the energy consumption of industrial equipment rises mostly due to wear and
tear, which might include leaks or faulty plant conditions. By using statistical techniques and …

Industrial processes are monitored by a large number of various sensors that produce time-
series data. Deep Learning offers a possibility to create anomaly detection methods that can …

Welding defect detection is still often performed by the human visual inspection or with non
destructive tests. These quality inspections methods can be time consuming and can have …

Energy state monitoring is the basis of energy management. Data acquisition is an important
part of energy monitoring. Sensors located in important parts of the unit are used to realize …