Fuzzy Petri nets to model vision system decisions within a flexible manufacturing system

Moheb Maurice Hanna; A. A. Buck; R. Smith

doi:10.1117/12.188729

3 October 1994 Fuzzy Petri nets to model vision system decisions within a flexible manufacturing system

Moheb Maurice Hanna, A. A. Buck, R. Smith

Proceedings Volume 2347, Machine Vision Applications, Architectures, and Systems Integration III; (1994) https://doi.org/10.1117/12.188729
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

The paper presents a Petri net approach to modelling, monitoring and control of the behavior of an FMS cell. The FMS cell described comprises a pick and place robot, vision system, CNC-milling machine and 3 conveyors. The work illustrates how the block diagrams in a hierarchical structure can be used to describe events at different levels of abstraction. It focuses on Fuzzy Petri nets (Fuzzy logic with Petri nets) including an artificial neural network (Fuzzy Neural Petri nets) to model and control vision system decisions and robot sequences within an FMS cell. This methodology can be used as a graphical modelling tool to monitor and control the imprecise, vague and uncertain situations, and determine the quality of the output product of an FMS cell.

Citation Download Citation

Moheb Maurice Hanna, A. A. Buck, and R. Smith "Fuzzy Petri nets to model vision system decisions within a flexible manufacturing system", Proc. SPIE 2347, Machine Vision Applications, Architectures, and Systems Integration III, (3 October 1994); https://doi.org/10.1117/12.188729

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