Title :
Notice of Retraction
Survey on uncertainty support vector machine and its application in fault diagnosis
Author :
Yi-Bo Li ; Ye Li
Author_Institution :
Dept. of Autom. Control, Shenyang Inst. of Aeronaut. Eng., Shenyang, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Because of the superiority on processing the uncertain information and fuzzy information, the uncertainty mathematical theory has been widely applied in fault diagnosis of complex system. In this paper, first, the combination of basic uncertainty mathematics theory and support vector machine (SVM) and its application in fault diagnosis are introduced in detail. Then, some of the key technologies are also described. At last, the existing problems needing further research and the development tendencies are pointed out.
Keywords :
fault diagnosis; fuzzy set theory; large-scale systems; support vector machines; uncertainty handling; complex system; fault diagnosis; fuzzy information; uncertain information; uncertainty mathematical theory; uncertainty support vector machine; Support vector machine classification; fault diagnosis; fuzzy membership; fuzzy set (FS); rough set theory(RS); support vector machine;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563619
