Bayesian Diagnostic Network Model for Sliding Plug Door

Abstract:

Article Preview

For constructing Bayesian diagnostic network model of complex system is a difficult course, we propose a Bayesian network model auto-construction method based on expert system knowledge base. Bayesian diagnostic network model was built by using the CM structure, and the diagnostic knowledge was organized by product structure tree. We have applied this method to fault diagnosis for sliding plug door, and tested our methodology on many examples of diagnostic problems of sliding plug door, which prove the efficiency of the Bayesian diagnostic network model and model-building method.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1496-1499

DOI:

10.4028/www.scientific.net/AMR.219-220.1496

Citation:

H. C. Shi et al., "Bayesian Diagnostic Network Model for Sliding Plug Door", Advanced Materials Research, Vols. 219-220, pp. 1496-1499, 2011

Online since:

March 2011

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Price:

$35.00

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