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

Author

Xu, Yufa ; Zuo, Ziyang ; Chen, Guochu

Author_Institution

Inst. of Electr., Shanghai Dian Ji Univ., Shanghai, China

Volume

2

fYear

2009

fDate

12-14 Dec. 2009

Firstpage

46

Lastpage

48

Abstract

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.

Keywords

entropy; fault diagnosis; random processes; set theory; wind turbines; D-S combination rule; fault diagnosis; information decision-making method; information entropy; random set theory; wind turbine generating unit; Computational intelligence; Decision making; Extraterrestrial measurements; Fault diagnosis; Information entropy; Power generation; Set theory; Wind energy; Wind energy generation; Wind turbines; fault diagnosis; information entropy; random set; wind turbine generating units;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on

Conference_Location

Changsha

Print_ISBN

978-0-7695-3865-5

Type

conf

DOI

10.1109/ISCID.2009.160

Filename

5368952