Table of Contents
Journal of Computational Engineering
Volume 2015 (2015), Article ID 812835, 14 pages
http://dx.doi.org/10.1155/2015/812835
Research Article

Holistic Ontology-Based Assistance System for Efficient Process Model Parameter Identification

1Chair for Technical Information Systems, Dresden University of Technology, 01062 Dresden, Germany
2Institute of Machine Tools and Control Engineering, Dresden University of Technology, 01062 Dresden, Germany

Received 30 July 2014; Accepted 20 January 2015

Academic Editor: Franca Giannini

Copyright © 2015 Burkhard Hensel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Accurate models of technical systems are the basis for many tasks like system analysis, predictions, or controller design. Usually, the values of several important parameters cannot be determined by theoretical analysis only; instead, process identification is necessary. For several applications, the efficiency of the identification procedure is very important, for example, for the creation of thermal models of machine tools, because of the large time constants and the expensive machine time. The goal of the authors is the support of this task as far as possible by software. This paper contributes to that goal twofold: on the one hand, it provides a collection of influences which have to be considered for supporting the identification procedure. On the other hand, concepts for computer-based support are presented—ontologies and automatic design methods based on evolutionary algorithms.