EASE-R3 mapped on
Measurement, sensing, condition and performance monitoring technologies

General desciption of Measurement, sensing, condition and performance monitoring technologies:

Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis capabilities and context-awareness. Detecting, measuring and monitoring the variables, events and situations will increase the performance and reliability of manufacturing systems. This involves advanced metrology, calibration and sensing, signal processing and model-based virtual sensing for a wide range of applications, e.g. event pattern detection, diagnostics, anomaly detection, prognostics and predictive maintenance.

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Demonstrator 3 – Predict remaining useful life Validation of residual life prediction of components/machines based on CNC control internal signal processing The developed of prediction algorithms and condition monitoring strategies applied to the available machines tools. Different strategies and algorithms have been compared regarding their performance to detect the failure mode and time, together with the associated confidence of prediction.
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