Title :
Cluster-based representation of hydraulic systems
Author :
Farley, Arthur M.
Author_Institution :
Dept. of Comput. & Inf. Sci., Oregon Univ., Eugene, OR, USA
Abstract :
The authors present a technique for structural abstraction applicable to the domain of pressurized hydraulic systems. Valves, when closed, functionally isolate clusters of components: when opened, neighboring clusters are merged. A cluster can only be in the one of two qualitative states-stable, where pressures are equal throughout and no flow occurs, or unstable, where flow from high-pressure sources(s) to low-pressure sink(s) occurs. Reasoning in terms of clusters is shown to facilitate the generation and explanation of plans for operating and troubleshooting hydraulic systems
Keywords :
CAD; artificial intelligence; computer aided analysis; hydraulic systems; mechanical engineering computing; CAD; artificial intelligence; clusters; hydraulic systems; mechanical engineering computing; reasoning; structural abstraction; troubleshooting; Artificial satellites; Earth; Hydraulic systems; Information science; Predictive models; Space shuttles; Space technology; Valves;
Conference_Titel :
Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-0837-4
DOI :
10.1109/CAIA.1988.196131
