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A Knowledge-Based Expert System to Diagnose Turbomachinery Vibration Problems PUBLIC ACCESS

[+] Author Affiliations
Jhy-Horng Wang, Lih-Jong Perng

National Tsing Hua University, Hsinchu, Taiwan, Republic of China

Paper No. 93-GT-383, pp. V03CT17A044; 8 pages
doi:10.1115/93-GT-383
From:
  • ASME 1993 International Gas Turbine and Aeroengine Congress and Exposition
  • Volume 3C: General
  • Cincinnati, Ohio, USA, May 24–27, 1993
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7892-7
  • Copyright © 1993 by ASME

abstract

A knowledge–based expert system was developed to diagnose the vibration problems of turbomachinery. A two–step diagnosis was proposed in this work. The huge knowledge base was divided into two sub–bases, called Knowledge Level I and II. Knowledge Level I was first processed to extract a few possible causes, and only these possible causes were re–evaluated by Knowledge Level II. The main purpose of the two–step diagnosis was to speed up the knowledge processing and to make the development of inference procedure easier. The concept of certainty factor was adopted to handle the problem of reasoning under uncertainty. The possible causes of fault were ranked according to the certainty factors.

Copyright © 1993 by ASME
This article is only available in the PDF format.

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