The world today is characterized by more and more complex systems that implement technologically advanced functionalities. However, monitoring these complex systems is a demanding task for the operators and a relevant cost for the companies.
For improving the quality of the monitoring processes and minimizing the workload of the operators, thus reducing the operational costs, industry asks for solutions that provide:
Early and reliable detection of the anomalies
Automatic processes that support the monitoring operations
Interpretability of the diagnostic output, especially when AI algorithms are exploited
Fast troubleshooting of anomalies
Fault prediction (Remaining Useful Life estimate)
In this session, SATE presents a suite of software components, called Diagnostic Kernel Modules (DKM) addressing the above points, and shows real use cases derived from diagnostic applications developed for space satellites constellations, industrial vehicle fleets and hydrocarbons production facilities.