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A Model of the Operator’s Task in Diagnostic Problem Solving

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Empirical Foundations of Information and Software Science V

Abstract

In supervisory control of complex dynamic systems a major part of the problem solving activity is concerned with fault diagnosis. Therefore, operator training for diagnostic problem solving is essential to ensure competent performance. Intelligent computer aids and operator associates can be very effective for training operators in a variety of domains. Development of such computer aids depends on the availability of suitable models of the operator’s task. The task model must incorporate the structure, functions, and behavior of the system in an appropriate form. This paper proposes a methodology for building a normative model of the operator’s task. The proposed model supports qualitative reasoning for schema instantiation based on qualitative values of the system state. The choice of qualitative reasoning makes the model consistent with how human operators function while diagnosing faults. The model uses level of abstraction inherent in the dynamic systems to decompose the operator’s fault diagnosis task into a hierarchy of functions. An application of the model to an existing marine power plant simulator is also presented.

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© 1990 Plenum Press, New York

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Vasandani, V., Govindaraj, T. (1990). A Model of the Operator’s Task in Diagnostic Problem Solving. In: Zunde, P., Hocking, D. (eds) Empirical Foundations of Information and Software Science V. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5862-6_20

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  • DOI: https://doi.org/10.1007/978-1-4684-5862-6_20

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-5864-0

  • Online ISBN: 978-1-4684-5862-6

  • eBook Packages: Springer Book Archive

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