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 :
بازگشت