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A Diagnostic Expert System for Oil Systems of Aeroengines PUBLIC ACCESS

[+] Author Affiliations
Hong Cao, Mei Ma

Beijing University of Aeronautics and Astronautics, Beijing, P. R. China

Paper No. 93-GT-349, pp. V03CT17A010; 5 pages
doi:10.1115/93-GT-349
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

DIAG, a diagnostic expert system for oil systems of aeroengines, is presented in this paper. Using artificial intelligence, DIAG, which simulates the role of human experts in solving problems, can solve the complicated problems in diagnosing the faults and failures of oil systems of gas turbine engines. The paper concentrates on the design of DIAG as well as the process of handling the complex relation and uncertainty of problems. It also includes graphic subsystem and data subsystem. It is affirmed by the expected goal of diagnosing the faults and failures of oil system and engine of CFM56 engine on Boeing 737–300 airplane.

Copyright © 1993 by ASME
Topics: Expert systems
This article is only available in the PDF format.

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