Uncertainty Quantification for the Quality Inspection Driven by Manufacturing Data
How reliable are the results achieved from quality inspection driven by manufacturing data?
Challenge and Motivation
- By analyzing high-frequency machine and sensor data it is possible to evaluate the product quality (Project 4.2 2020).
- Data analyses are always affected by uncertainties which must be known exactly for the validation and certification of a measurement system.
Objective
- Demonstration of possibilities for uncertainty quantification.
- Uncertainty quantification for the data driven quality inspection to enable target oriented inspection.