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Bayesian belief networks for industrial processes

Patent 6415276 Issued on July 2, 2002. Estimated Expiration Date: Icon_subject August 13, 2019. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

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Inventors

Assignee

Application

No. 374438 filed on 08/13/1999

US Classes:

706/52, Reasoning under uncertainty (e.g., fuzzy logic)702/84, Quality control702/183, Diagnostic analysis706/24Beamforming (e.g., target location, radar)

Examiners

Primary: Chaki, Kakali
Assistant: Starks, Wilbert L. Jr.

Attorney, Agent or Firm

International Class

G06N 007/00

Abstract

A method and an apparatus for diagnosis of sensors and/or processes through use of Bayesian belief networks. More specifically, the method and apparatus of the present invention achieve sensor and/or process fault detection, isolation, and accommodation.

Other References

  • Aradhye, H.B., "Sensor Fault Detection, Isolation, and Accommodation Using Neural Networks, Fuzzy Logic, and Bayesian Belief Networks," University of New Mexico, Master of Schience in Chemical Engineering Thesis (Aug. 1997) best copy available
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  • Spiegelhalter, D.J., "A unified Approach to Imprecision and Sensitivity of Beliefs in Expert Systems," BOOK, Uncertainty in Artificial Intelligence, vol. 3, Kanal, L.H., T.S. Levitt and J.F. Lemmer, editors, Elsevier Science Publishers B.V. (North-Holland) 1989, pages not provided
  • Smets, P., "The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model," Proceedings of the Eighth Conference on Artificial Intelligence, pp 292-297 *1992)
  • Karjala, T.W., et al., "Data Rectification Using Recurrent (Elman) Neural Networks," Proceedings of the IEEE-IJCNN, pp 901-906 (1992
  • Hugin API version 3.0 Reference Manual, Version 2.0 (1995
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