Any kind of complex systems pose demanding tasks to operating personnel or existing automatic monitoring tools in charge of their performance checking.
Automatic alerting systems are used to help supervising systems operations, in some applications already adopting Artificial Intelligence algorithms. However, most of them, while are able to detect the present status of a system, are still lacking reliable early detection of failures and prediction of the remaining useful life (RUL) at subsystem or components level, taking into account that different contexts of operation may determine different normal behaviour patterns that must be considered.
SATE provides customised advanced software solutions and services for systems diagnostics and prognostics, including systems normal behaviour characterisation, early anomaly detection, root cause identification and Remaining Useful Life prediction.
Our solutions implement advanced model-based and data-driven approaches resulting from two decades of R&D and application experience. They are now the core of a number of diagnostic applications being proven for space satellites constellations, industrial vehicle fleets and hydrocarbons production facilities.
On-board predictive diagnosis of vehicles powertrain systems with SATE DKMs
SATE Diagnostic Kernel Modules were customised and deployed for on-board and off-board predictive diagnostics of a set of vehicle powertrain subsystems, providing early warnings, well before on-board ECU error logs, identifying the most likely cause of the anomaly and predicting the remaining time to failure.
CASTeC is a software as a service solution in support to satellites operations on ground, for automating and enhancing the telemetry checking tasks by implementing innovative approaches for the automatic definition and execution of parameter-specific and context-specific checks and the assessment of the health status of each subsystem and satellite of the constellation.