Designing Real-Time Knowledge Based Systems with Perfect

Sassen, J.M.A.; Jaspers, R.B.M.

doi:10.1016/s1474-6670(17)50867-8

IFAC Proceedings Volumes

1992

DOI: 10.1016/s1474-6670(17)50867-8

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Designing Real-Time Knowledge Based Systems with Perfect

J.M.A. Sassen

R.B.M. Jaspers²

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1994

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Diagnostic reasoning strategies for means-end models

Larsson

1994

Automatica

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Key words: artificial intelligence; modeling; (diagnosis; expert systems; model-based reasoning).Abstract-This paper describes three diagnostic methods for use with industrial processes. They are measurement validation, alarm analysis, and fault diagnosis. Measurement validation means consistency checking of sensor and measurement values using any redundancy of instrumentation. Alarm analysis is the analysis of multiple alarm situations to find which alarms are directly connected to primary faults and which alarms are consequential effects of the primary ones. Finally, fault diagnosis is a search for the causes of and remedies for faults. The three methods use multilevel flow models, (MFM), to describe the target process. They have been implemented in the programming tool G2, and successfully tested on simulations of two processes.

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Diagnostic reasoning strategies for means-end models

Larsson

1994

Automatica

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Developing real-time knowledge-based systems with PERFECT

Sassen¹,

Ollongren²

1994

Engineering Applications of Artificial Intelligence

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Designing Real-Time Knowledge Based Systems with Perfect

Cited by 2 publications

References 5 publications

Diagnostic reasoning strategies for means-end models

Diagnostic reasoning strategies for means-end models

Developing real-time knowledge-based systems with PERFECT

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