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Fault detection and identification in an intelligent restructurable controller

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Abstract

The fault detection and identification problem in an intelligent restructurable controller is addressed using a combination of algorithmic and artificial intelligence methods. An architecture is developed to address this problem. The integration of a variety of distinct knowledge representations and diagnostic reasoning techniques, and the system design and implementation is facilitated by the introduction of a novel knowledge representation graph.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Notre Dame, 46556, Notre Dame, IN, U.S.A.

    K. M. Passino & P. J. Antsaklis

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  1. K. M. Passino
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  2. P. J. Antsaklis
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Passino, K.M., Antsaklis, P.J. Fault detection and identification in an intelligent restructurable controller. Journal of Intelligent and Robotic Systems 1, 145–161 (1988). https://doi.org/10.1007/BF00348720

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  • DOI: https://doi.org/10.1007/BF00348720

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