Title :
Fault diagnosis of chemical processes utilizing signed directed graphs-improvement by using temporal information
Author :
Shiozaki, J. ; Shibata, B. ; Matsuyama, H. ; O´shima, E.
Author_Institution :
Yamatake-Honeywell Co. Ltd., Tokyo, Japan
Abstract :
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.<>
Keywords :
chemical engineering computing; directed graphs; failure analysis; process computer control; chemical processes; dynamic characteristic; fault-diagnosis algorithm; measured variable; real-time diagnosis; signed directed graph; tank-pipeline systems; temporal information; Chemical processes; Data structures; Diagnostic expert systems; Fault diagnosis; Fault trees; Production; Real time systems; Sensor phenomena and characterization; Sensor systems; Tree data structures;
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City, Japan
DOI :
10.1109/AIIA.1988.13332
