DocumentCode :
2299817
Title :
HVDC system fault identification using S-transform approach
Author :
Srikanth, P. ; Chandel, A.K. ; Naik, K.A.
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Hamirpur, India
fYear :
2010
fDate :
Nov. 29 2010-Dec. 1 2010
Firstpage :
1
Lastpage :
6
Abstract :
In the present paper HVDC fault analysis using Stockwell Transforms is carried out. Stockwell Transform is utilized for the real time prediction of the disturbance as it accurately determines the sudden changes in the signal. The method uses the scalable Gaussian window which dilates and translates the time varying function and hence the prediction is very accurate. The presented technique has been tested on various types of HVDC faults to show the efficacy of the proposed technique.
Keywords :
HVDC power convertors; HVDC power transmission; power transmission faults; transforms; HVDC system fault identification; S-transform approach; Stockwell transforms; scalable Gaussian window; time varying function; Circuit faults; Fault diagnosis; HVDC transmission; Rectifiers; Time frequency analysis; Wavelet transforms; Contours; S-transform; faults; wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power, Control and Embedded Systems (ICPCES), 2010 International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4244-8543-7
Type :
conf
DOI :
10.1109/ICPCES.2010.5698683
Filename :
5698683
Link To Document :
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