Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
An Anomaly Cause Identification Technique by Expanding Search Space Based on Part Models of Plants
Akio GOFUKUKei INUZUKAYutaka TANAKA
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2003 Volume 16 Issue 3 Pages 101-110

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Abstract

This paper proposes an anomaly cause identification technique in the case of a single anomaly occurring in a plant. The technique 1) defines anomaly modes based on a functional model and the structure for each component or system of plants, 2) uses estimation rules collected previously as a knowledge base to judge the occurrence of each anomaly mode, and 3) identifies the anomaly cause by expanding the search space using the component connection information from the part model including the component where an anomalous behavior is detected. A simple technique is also formulated and implemented to estimate the values of unobserved flow rates based on mass balance equations. The applicability of the proposed anomaly cause identification technique is demonstrated through the applications to several anomaly scenarios for a system around a main fractionator of an oil refinery plant.

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