Abstract
In this paper an architecture for Intelligent Process Control is presented. The main components of the architecture are an inspection vision system to identify defects on products and an expert system to diagnose the process malfunctions. The expert system architecture is based on the cooperation of two models, heuristic and causal. Both models are defined and its connexion with the vision system is explained. An example on a TV flowcoating process exemplifies the features of the architecture and shows the possibilities of the approach achieving performances not reachable in current commercial on-line Process Control Systems.
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© 1992 Springer-Verlag Berlin Heidelberg
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Vila, L., Sierra, C., Martinez, A.B., Climent, J. (1992). Intelligent process control by means of expert systems and machine vision. In: Belli, F., Radermacher, F.J. (eds) Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. IEA/AIE 1992. Lecture Notes in Computer Science, vol 604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024970
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DOI: https://doi.org/10.1007/BFb0024970
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-47251-3
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