Process monitoring technology based on multi-scale, multi-sensor data fusion for high responsiveness while identifying manufacturing process deviations, applicable to small batch productions.

Process monitoring technology based on multi-scale, multi-sensor data fusion for high responsiveness while identifying manufacturing process deviations, applicable to small batch productions.
Summary
Main Impact on the Project: - Gain knowledge on the process state by combining information provided by many diferent sources (signal data, multiresolution point clouds) - Speed-up detection of poor quality process and product states to be able to react in short production run Progress Status: Progress/Features up to month 32: - Methods and tools to fuse multisensor geometrical data (tested on real and simulated data) - Methods and tools to fuse multiple signals (tested on simulated data, only) - Methods and tools to detect alarm states via multiple-source control chart (tested on simulated data, only) Next steps: - Test methods and tools on real data collected in the different ADs - Tune the methods depending on the real test cases Partners involved: - Polimi (lead partner) - Technion
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