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Working Memory Pre-Processor Sensor X)utputs The DesUnation o£ Diagnosis . Check consistency of sign patterns (Phase 1) Fig. 4. The architecture of the system. Sensor-Net 30 N. Kumagai, Y. Ishida and H. Tokumaru CHECKING CONSISTENCY AMONG SENSOR PATTERNS Sign patterns interpreted by the pre­ processor are checked their consistency with the sensor-net in the knowledge base. In the diagnosed system, a fault which has occurred at a small place gradually grows to wider area. This phenomenon is called fault propagation.

The two types of knowledge representation for on-line, real-time diagnosis of large-scale plants are studied. One is sensor-net, the structural knowledge which represents the failure propagation. Because it has the information of relations between sensor values, it is available to test sensor values whether they have consistency and to identify faulty sensor values. Boundary set, which represents propagation of failure, is introduced which realizes the fast checking/identifying sensor values. The other is event-tree, which expresses diagnostic rules peculiar to the plants.

Of the 8th European Meeting on Cybernetics and Systems Research, 1-4 April, tfien. , P. Brard, P. Faugere, and C. Merlaud (1984). Le GRAFCET« Educalivre, Paris. Martin, T. (1981). Digital computer ap­ plications to process control. In R. Iserman and H. ), Industrial experience with process control programming language PEARL, Pergamon, New York, pp. I. (1981). Petri net theory and the modelling of systems. Prentice-Hall, Englewood Cliffs, New York. Reisig, W. (1982). Petrinetze. Springer-Verlag, Berlin.

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