Fault Diagnosis of Engine Based on Improved Dempster-Shafer Information Fusion Method

Abstract:

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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 et al., "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:

$35.00

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