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Intelligent Manufacturing: pp 223–236Cite as

Knowledge-Based Software for Diagnosis of Manufacturing Systems

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Part of the book series: Advanced Manufacturing Series ((ADVMANUF))

Abstract

The large-scale automation and integration of manufacturing systems, which has become possible with the development of low-cost digital computers and communications networks, permits more efficiency and flexibility in meeting production schedules and can potentially lead to lower-cost and higher-quality products. However, an integrated system is very dependent upon the troublefree operation of all of its component parts; when a failure occurs it is critical to isolate the causes as rapidly as possible and to take appropriate corrective action.

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Authors
  1. James H. Graham
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  2. Suraj M. Alexander
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  3. Won Young Lee
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Editor information

Editors and Affiliations

  1. School of Engineering Science, Simon Fraser University, Burnaby, Vancouver, V5A 1S6, British Columbia, Canada

    William A. Gruver PhD, MSEE, DIC, BSEE

  2. Center for Manufacturing Engineering, National Institute of Standards and Technology, 20899, Gaithersburg, MD, USA

    J. C. Boudreaux PhD, BA

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© 1993 Springer-Verlag London Limited

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Graham, J.H., Alexander, S.M., Lee, W.Y. (1993). Knowledge-Based Software for Diagnosis of Manufacturing Systems. In: Gruver, W.A., Boudreaux, J.C. (eds) Intelligent Manufacturing:. Advanced Manufacturing Series. Springer, London. https://doi.org/10.1007/978-1-4471-2023-0_9

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  • DOI: https://doi.org/10.1007/978-1-4471-2023-0_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2025-4

  • Online ISBN: 978-1-4471-2023-0

  • eBook Packages: Springer Book Archive

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