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Maintenance Engineering Management Applications of Artificial Intelligence

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Applications of Artificial Intelligence in Engineering Problems

Abstract

The author has surveyed for the Engineering Branch of the Royal Air Force the potential applications of Artificial Intelligence techniques to aircraft maintenance management. This paper identifies the characteristics of faults and maintenance work, covers the characteristics of maintenance management, discusses computer-aiding, and summarises the methodology and the results of the aircraft-oriented survey. Six application classes were identified: Intelligent Front Ends, consultative aids to technical manuals, maintenance regulations and “good practices”, diagnostic aids for novel and familiar faults, an equipment assignment aid, and a maintenance work scheduling aid. The results of the survey are generalised to the maintenance of other types of plant and equipment.

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Author information

Authors and Affiliations

  1. Royal Air Force, UK

    T. J. Grant (Squadron Leader)

Authors
  1. T. J. Grant
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Editor information

Editors and Affiliations

  1. Department of Civil Engineering, M.I.T., 02139, Cambridge, Massachusetts, USA

    D. Sriram

  2. Computational Mechanics Inc, Suite 6200 400 West Cummings Park, 01801, Woburn, MA, USA

    R. Adey

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© 1986 Springer-Verlag Berlin Heidelberg

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Grant, T.J. (1986). Maintenance Engineering Management Applications of Artificial Intelligence. In: Sriram, D., Adey, R. (eds) Applications of Artificial Intelligence in Engineering Problems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-21626-2_88

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  • DOI: https://doi.org/10.1007/978-3-662-21626-2_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-21628-6

  • Online ISBN: 978-3-662-21626-2

  • eBook Packages: Springer Book Archive

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