Greska W (1995)
Publication Type: Thesis
Publication year: 1995
Publisher: Meisenbach
Edited Volumes: Fertigungstechnik - Erlangen 49
City/Town: Bamberg
The aim of the thesis has been to build up a concept for a modern classification system, to show the application and potentials of such developments. Conventional methods such as form ordering systems have been considered. With modern, knowledge based methods a prototype for a classification system was realized, particularly for sheet metal parts. The core of the concept is a universal part description method with form features and semantic features. The automatic feature analysis makes a powerful part recognition possible. Both the coarse shape, often a rectangle, and local form features, e.g. slots, have been considered. By using special algorithms, Neural Networks and Fuzzy Logic the deviation of a defined shape can be recognized and quantified. As an integrating tool for knowledge representation and processing a special type of Semantic Network which has advantages as for flexibility and universality, has been developed. Applications are possible with the developed basic knowledge. A universal system for the retrieval of similar parts has been created. The support for computer aided process planning and calculation was also shown.
APA:
Greska, W. (1995). Wissensbasierte Analyse und Klassifizierung von Blechteilen (Dissertation).
MLA:
Greska, Wolfgang. Wissensbasierte Analyse und Klassifizierung von Blechteilen. Dissertation, Bamberg: Meisenbach, 1995.
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