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Inspectr: A Power Plant Performance Diagnostic Expert System Using Evidential and Model-Based Reasoning

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Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry

Abstract

Chronic problems that adversely affect plant heat rate typically take a secondary role compared to acute problems requiring minimal diagnostic expertise simply because the acute problems are easier to find and treat without allocating expensive expert resources. However, the cumulative cost of these chronic problems often far exceeds that of the acute problems. The ability to diagnose and correct chronic performance problems at the site without waiting for expert assistance to be made available therefore represents a significant benefit to any power plant.

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References

  1. NEXPERT OBJECT Fundamentals. Palo Alto, CA: Neuron Data Inc., 1986.

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  2. G. Shafer. “Mathematical Theory of Evidence.” Princeton, NJ: Princeton University Press, 1976.

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  3. G. Liu. “Causal and Plausible Reasoning in Expert Systems.” Berkeley, CA: University of California at Berkekey, 1987.

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© 1988 Plenum Press, New York

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Kessler, T., Liu, G., Frogner, B., Gloski, D., Wallace, P., Shieh, DR. (1988). Inspectr: A Power Plant Performance Diagnostic Expert System Using Evidential and Model-Based Reasoning. In: Majumdar, M.C., Majumdar, D., Sackett, J.I. (eds) Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1009-9_81

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  • DOI: https://doi.org/10.1007/978-1-4613-1009-9_81

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8290-7

  • Online ISBN: 978-1-4613-1009-9

  • eBook Packages: Springer Book Archive

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