Bayesian Diagnostic Network Model for Sliding Plug Door

Hui Chao Shi; Long Tian; Liang Wang

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Bayesian Diagnostic Network Model for Sliding Plug...

Bayesian Diagnostic Network Model for Sliding Plug Door

Abstract:

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．

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

1496-1499

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.1496

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Online since:

March 2011

Authors:

Hui Chao Shi, Long Tian, Liang Wang

Keywords:

Auto-Construction, Bayesian Network (BN), Cause-Mode (CM), Sliding Plug Door

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References

[1] Yingping Huang, Ross McMurran ,Gunwant Dhadyalla &R. Peter Jones ,Probability based vehicle fault diagnosis: Bayesian network method, J Intell Manuf (2008) ,pp.301-311.

DOI: 10.1007/s10845-008-0083-7

Google Scholar

[2] F. V. Jensen. Bayesian Networks and Decision Graph,New York: Springer-Verlag, (2001).

Google Scholar

[3] C.H. Lo, Y.K. Wong, & A.B. Rad, BAYESIAN NETWORK FOR FAULT DIAGNOSIS.

Google Scholar

[4] M. Cetin Yavuz, Ferat Sahin, Ziya Arnavut &Onder Uluyol Generating and Exploiting Bayesian Networks for Fault Diagnosis in Airplane Engines,, IEEE (2006) pp.250-255.

DOI: 10.1109/grc.2006.1635792

Google Scholar

[5] M. J. Kane and A. Savakis, Bayesian network structure learning and inference in indoor vs. outdoor image classification,, Proceedings of the17th International Conference on Pattern Recognition, vol. 2, p.479,(2004).

DOI: 10.1109/icpr.2004.1334268

Google Scholar