FG Automatisierungstechnik
Refine
Year of publication
- 2012 (1) (remove)
Document Type
Language
- English (1)
Keywords
- data extraction (1) (remove)
Institute
- FG Automatisierungstechnik (1) (remove)
In this approach a knowledge-based system with a parameters quality assessment for automated
screwing processes is developed. To avoid technical risks, it makes sense to develop methods, which
automatically extract the process related data and provide it to operator afterwards. By using the knowledgebased
system, information (process and control data) about the parameterization of the screwing process control
with standardized correlations and tested process steps is provided. In this way the running, modification and
optimization of the screwing process can be implemented without errors. This system was tested on an
experimental platform for screwing process in the research laboratory. Thereby, the functionalities of the
platform and their components are described and a validation of the developed system is carried out. Data
interrelations between different software components are elaborated in detail. The validation of the system is
done using the screwing process test case. The precision in the parameterization is made with help of functional
properties of parameters. Consequently, an obvious minimization of the parameterization errors and a simple
screwing process control are achieved.