To analyse consquences of such variations, and to be capable of predicting them through appropriate models, allows to optimally adjust controllable parameters, as well as to minimize unwanted influences such as environmental conditions or uncertainties originating from the production process. Computer-aided robust design, employing Finite Element Method (FEM) simulations, based on specifically developed DoEs, and model-building, targeted at an optimal analysis and description of design-parameterspaces and simulation results, are thus main focus areas for research and development with, at the same time, high relevance for the industry.
Wolfgang Granig, Dirk Hammerschmidt, and Hubert Zangl. Diagnostic Coverage Estimation Method for Optimization of Redundant Sensor Systems, IEEE Sensors, Glasgow, Schottland, 29. Oktober-1 November 2017
Feasibility Considerations on an Inkjet-Printed Capacitive Position Sensor for Electrostatically Actuated Resonant MEMS-Mirror Systems