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Fault diagnosis of chemical processes utilizing signed directed graphs-improvement by using temporal information

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4 Author(s)
J. Shiozaki ; Yamatake-Honeywell Co. Ltd., Tokyo, Japan ; B. Shibata ; H. Matsuyama ; E. O'shima

A fault-diagnosis algorithm using a signed directed graph as a model of the system is presented for the real-time diagnosis of failures. The accuracy of the algorithm has been improved to select candidates which are the most likely to be the real origin of failure, utilizing the time when the measured variable begins to show abnormality as the representation of the dynamic characteristic of the measured variable. The accuracy and speed of the improved algorithm are examined by its application to data obtained in experiments of fault diagnosis in tank-pipeline systems.<>

Published in:

Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on

Date of Conference:

25-27 May 1988