Prediction-Based Diagnosis and Loss Prevention Using Model-Based Reasoning

Prediction-Based Diagnosis and Loss Prevention Using Model-Based Reasoning

A diagnostic expert system established on model-based reasoning for on-line diagnosis and loss prevention is described in the paper. Its diagnostic ”cause-effect” rules and possible actions (suggestions) are extracted from the results of standard HAZOP analysis. Automatic focusing as well as ”what-i...

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Bibliographische Detailangaben
Hauptverfasser: Németh, Erzsébet, Lakner, Rozália, Hangos, Katalin M., Cameron, Ian T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Fault Detection
Fertilizer Plant
Loss Prevention
Preventive Action
Type Reasoning
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Beschreibung
Zusammenfassung:A diagnostic expert system established on model-based reasoning for on-line diagnosis and loss prevention is described in the paper. Its diagnostic ”cause-effect” rules and possible actions (suggestions) are extracted from the results of standard HAZOP analysis. Automatic focusing as well as ”what-if” type reasoning for testing hypothetical actions have been also implemented. The diagnostic system is tested on a granulator drum of a fertilizer plant in a simulation test-bed.
ISSN:0302-9743
1611-3349
DOI:10.1007/11504894_52