Title :
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
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714147
