Expert System for Aircraft Fault Diagnosis

Authors

  • Jorge da Silva Santos Força Aérea Brasileira

DOI:

https://doi.org/10.22480/rev.unifa.1990.6.991

Keywords:

Expert System, Maintenance, Aircraft, Artificial Intelligence

Abstract

The article discusses the implementation of an Expert System (ES) for aircraft fault diagnosis, highlighting the complexity of modern systems and the need for qualified mechanics. The ES uses heuristics and a knowledge base to diagnose issues, allowing mechanics to follow a structured methodology during maintenance. Through inference rules, the ES not only improves efficiency in identifying faults but also elevates the professional level of mechanics by providing continuous and well-founded support. The adoption of this system can lead to more effective and safer maintenance of the Brazilian Air Force aircraft.

References

BARR, Avron & FEGEINBAUM, Edward A. The Handbook of Artificial Intelligence, volume 2. Massachusetts, Addison-Wesley Publishing Company Inc, 1986.

WATERMAN, Donald A. A Guide to Expert Systems. Massachusetts, Addison-Wesley Publishing Company Inc, 1986.

RICH, Elaine. Artificial Intelligence. New York, McGraw-Hill Book Company, 1983.

Published

2024-11-05

Issue

Section

Original Articles

How to Cite

Expert System for Aircraft Fault Diagnosis. The Journal of the University of the Air Force , Rio de Janeiro, v. 6, n. 8, 2024. DOI: 10.22480/rev.unifa.1990.6.991. Disponível em: https://revistadaunifa.fab.mil.br/index.php/reunifa/article/view/991.. Acesso em: 14 nov. 2024.

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