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Use of agents and neural networks for acquisition and preparation of distributed NC information to support NC planning

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SPEP-NC information offers new possibilities for object-oriented data management. A strong need for high information content and the increasing object-oriented CAM software requires a new information level for preparation and execution tasks in part manufacturing. This paper describes applications of different intelligent methods especially to support distributed technological data management. The problem of current technological databases will be solved with the help of agent technology and machine learning for distributed information on the shop floor and in planning departments. The authors introduce a combination of agent-based organization and self-learning of feature-based technological information. The prototype includes three components for coordination, data acquisition and preprocessing of technological information to assist human engineers in planning and manufacturing.
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Keywords: Agent technology; Agent-based assistance; Artificial neural networks; CAP; CNC; Distributed NC-information; Self-learning procedure; Technological database

Document Type: Research Article

Affiliations: Technical University of Dresden, Institute of Production Engineering, Chair of Production Automatization, Cutting and Erosion Manufacturing Engineering, D-01062, Dresden, Germany

Publication date: September 1, 2006

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