Abstract
Automatic, computerized diagnosis can be based on several different search strategies, e.g. a search for a match between a pattern of measured data and some stored symptom patterns, or a search to locate a change in the system’s functional state with reference to a stored model of normal or specified plant state. The latter strategy has a number of basic advantages: it is independent of the prediction and analysis of specific faults and events; the reference for search, the normal state, can be derived from actual plant operation by the computer; the strategy can be based on invariate relations such as conservation laws; etc.
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References
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© 1981 Plenum Press, New York
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Lind, M. (1981). The use of Flow Models for Automated Plant Diagnosis. In: Rasmussen, J., Rouse, W.B. (eds) Human Detection and Diagnosis of System Failures. NATO Conference Series, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-9230-3_26
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DOI: https://doi.org/10.1007/978-1-4615-9230-3_26
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4615-9232-7
Online ISBN: 978-1-4615-9230-3
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