Techniques for Sensor-Based Diagnosis

نویسندگان

  • Mark S. Fox
  • Simon Lowenfeld
  • Pamela Kleinosky
چکیده

This paper describes a system called PDS, a forward chaining, rule-based architecture designed for the online, realtime diagnosis of machine processes. Two issues arise in the application of expert systems to the analysis of sensor-based data: spurious readings and sensor degradation. PDS implements techniques called retrospective analysis and metadiagnosis as solutions to these problems. These techniques and our experiences In knowledge acquisition in a large organization, and the implementation of PDS as a portable diagnostic tool are described. Copyright © 1983 Fox, Lowenfeld, & Kleinosky This research was supported by the Westinghouse Research ami Development Center. This paper will appear in the Proceedings of the Internationa} Joint ConfBrence on Artificial Intelligence, Karlsruhe, West Germany, August 1983.

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تاریخ انتشار 1983