DocumentCode
1777246
Title
Study on state evaluation of high voltage switchgear based on sudden-change component of fuzzy clustering algorithm
Author
Jing Xie ; Hongchun Shu ; Ke Wang
Author_Institution
Sch. of Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
1238
Lastpage
1244
Abstract
Fuzzy clustering algorithm is proposed for a high voltage switchgear state evaluation, In order to make the evaluation results have comparability, the algorithm uses invariant center for clustering method, and it can directly cluster samples without prior information. The data of live detection using sudden-change component in order to reduce the disturbance to the surrounding electromagnetic environment was accepted. The feasibility and effectiveness of the algorithm was verified by real data in transformer substation.
Keywords
fuzzy set theory; pattern clustering; power engineering computing; switchgear; electromagnetic environment; fuzzy clustering algorithm; high voltage switchgear state evaluation; live detection; sudden-change component; transformer substation; Clustering algorithms; Inspection; Interference; Maintenance engineering; Substations; Switches; Switchgear; Fuzzy C-means Clustering Means; High Voltage Switchgear; State Evaluation; Sudden-change component;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/POWERCON.2014.6993532
Filename
6993532
Link To Document