Title :
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
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;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.160
