Abstract
This paper describes a technique to estimate anomaly cause based on a functional plant model. The estimation is carried out from the component where an anomalous behavior is detected by extending search space using components' spatial connection relation. The knowledge to decide if a failure mode (anomaly cause) occurs is categorized into four types of affirmation, support, non-support, and negation knowledge. Correct estimation results are obtained by the proposed technique in the anomalous cases of an oil refinery plant of a decrease of the performance of naphtha extraction pump and a change of fuel density of a heater.
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