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Case Studies in Knowledge Based Fault Diagnosis and Control

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Knowledge-Based System Diagnosis, Supervision, and Control

Part of the book series: Applied Information Technology ((AITE))

Abstract

The knowledge based approach to design of machinery control and monitoring systems holds out great promise for the future. We can expect to see controllers which can handle difficult processes which have proved impossible to model well enough for current control techniques, condition monitoring systems which integrate a much richer set of data sources than current systems; fault diagnostic systems which can handle complex evolving fault situations without overloading the operator with irrelevant data.

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References

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© 1989 Springer Science+Business Media New York

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Reynolds, D., Cartwright, C. (1989). Case Studies in Knowledge Based Fault Diagnosis and Control. In: Tzafestas, S.G. (eds) Knowledge-Based System Diagnosis, Supervision, and Control. Applied Information Technology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-2471-1_9

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  • DOI: https://doi.org/10.1007/978-1-4899-2471-1_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-2473-5

  • Online ISBN: 978-1-4899-2471-1

  • eBook Packages: Springer Book Archive

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