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conference paper

Crossroad diagnosis

Pu, P.  
•
Huang, Y.
1992
ECAI 92. 10th European Conference on Artificial Intelligence Proceedings

In many domains, diagnosis requires several independent modules which produce sets of diagnoses based on examining the faulty device from different aspects of the behavior. For example, different modules might consider the mechanical, electrical, or thermal aspect of the device behavior. Individual modules can also employ different diagnostic strategies such as consistency-based or probabilistic diagnosis approaches depending on the requirement of their tasks. However, combining the results given by the different modules is a major difficulty in such an integrated diagnostic environment. The authors present a method for evaluating and synthesizing diagnostic hypotheses obtained from different modules. They discuss the resulting algorithm as it is applied to jet engine diagnosis, where the method provides a more focused and complete diagnosis than any single diagnostic system

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Type
conference paper
Author(s)
Pu, P.  
Huang, Y.
Date Issued

1992

Publisher

Wiley

Published in
ECAI 92. 10th European Conference on Artificial Intelligence Proceedings
Start page

704

End page

708

Subjects

automatic testing

•

diagnostic expert systems

Note

Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
GR-PU  
Available on Infoscience
January 14, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/16160
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