XAI-Enhanced Sensor Fusion for Reliable Predictive Analytics in Industry 4.0

Sensors are key components of any control system. Their reliability determines both the correct operation of the system and the effective implementation of control algorithms. Equally important is the ability to respond rapidly to irregularities and potential failures. The use of artificial intelligence not only enables faster anomaly detection but also allows for more frequent self-analysis of devices based on data that is already being transmitted to the system. The proposed approach focuses on exploring the potential of Explainable Artificial Intelligence (XAI) to monitor sensor performance and to detect deviations from normal operation. It also investigates the possibility of utilizing the acquired information to improve control processes.