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Application of Information Entropy Based on Random Set Theory to the Fault Diagnosis of Wind Turbine Generating Units

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3 Author(s)
Yufa Xu ; Inst. of Electr., Shanghai Dian Ji Univ., Shanghai, China ; Ziyang Zuo ; Guochu Chen

Because of D-S combination rule has disadvantage in dealing with high confliction between evidences, this paper, from the view of random set, discusses an information decision-making method based on the information entropy. Finally, this paper's method is applied to an example of actual fault diagnosis of wind turbine generating units and compares it with D-S combination rule, validating the feasibility of this paper's method in the practical example.

Published in:

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on  (Volume:2 )

Date of Conference:

12-14 Dec. 2009