Paper Title:
Fault Diagnosis of Engine Based on Improved Dempster-Shafer Information Fusion Method
  Abstract

In order to enhance the accuracy of engine fault diagnosis, information fusion technology was applied and a novel combination method is proposed based on D-S evidence theory. The evidence groups were classified by evidence conflict coefficient, the importance of each highly conflict evidence was calculated, and the credibility of each evidence was determined with a distance function of evidence bodies. Then the weight value of each evidence was revised with its importance and credibility respectively. Finally, the Dempster combination rule was used to realize the information fusion. The effectiveness of the new approach proposed was verified by theoretical analysis and experiment research results. Comparing with D-S evidence theory and the improved synthesis formula, the new combination method is more efficient in improving the accuracy and the certainty degree of engine fault diagnosis.

  Info
Periodical
Edited by
Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie
Pages
1310-1317
DOI
10.4028/www.scientific.net/AMM.16-19.1310
Citation
W. Zhou, Y. J. Liu, Q. F. Cao, T. X. Zhang, "Fault Diagnosis of Engine Based on Improved Dempster-Shafer Information Fusion Method", Applied Mechanics and Materials, Vols. 16-19, pp. 1310-1317, 2009
Online since
October 2009
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Price
$32.00
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