Fault Diagnosis Method Based on D-S Theory of Evidence and AHP

Author

Ye, Qing ; Wu, Xiaoping ; Song, Yexin

Author_Institution

Dept. of Inf. Security, Naval Univ. of Eng., Wuhan

Volume

2

fYear

0

fDate

0-0 0

Firstpage

5605

Lastpage

5609

Abstract

A new approach to fault diagnosis is presented, with a combination of D-S theory of evidence and AHP. The method for constructing assignment function of basic probability based on AHP with 5-unit preference scale is proposed in detail and its comparison is different from the pairwise comparison in the standard AHP. In addition, the weight of each sensor is taken into account in the process of combination. An illustrative example is given to expatriate on its application to fault diagnosis. After theses pieces of evidence from multisensors are combined, the reliability of the diagnostic result is improved significantly and its uncertainty is reduced remarkably, which shows the proposed approach to fault diagnosis is reasonable and effective

Keywords

fault diagnosis; inference mechanisms; operations research; reliability theory; D-S evidence theory; Dempster-Shafer theory; analytic hierarchy process; assignment function; basic probability; diagnostic reliability; fault diagnosis; multisensor; pairwise comparison; Artificial neural networks; Bayesian methods; Condition monitoring; Fault diagnosis; Fuses; Information security; Large-scale systems; Mathematics; Sensor fusion; Uncertainty; AHP; D-S theory of evidence; Fault diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714147

Filename

1714147