Abstract
Very large, dynamic, complex systems such as electrical power plants, both fossil and nuclear, are designed using a host of physical parameters that interact with each other on a first-principle basis and via control actions and reactions. Examples of these parameters are pressures, temperatures, flows, voltages, etc. When the plant is built, it is instrumented with thousands of sensors and actuators to both determine and control the design parameters. When the plant is operated, a major problem is ensuring all the parameters are where they ought to be.
Work supported by the U. S. Department of Energy under contract No. W-31-109-ENG-38. The submitted manuscript has been authored by a contractor of the U. S. Government under contract No. W-31-109-ENG-38. Accordingly, the U. S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U. S. Government purposes.
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References
J. E. Mott, W. H. Radtke, and R. W. King, EBR-II System Surveillance Using Pattern-Recognition Software, in “Proceedings of the ANS/ENS Topical Meeting on Operability of Nuclear Power Systems in Normal and Adverse Environments”, Albuquerque (1986).
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© 1988 Plenum Press, New York
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Mott, J., King, R., Radtke, W. (1988). A Generalized System State Analyzer for Plant Surveillance. 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_30
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DOI: https://doi.org/10.1007/978-1-4613-1009-9_30
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8290-7
Online ISBN: 978-1-4613-1009-9
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