DocumentCode :
3004038
Title :
Application of DWt for identifying type of fault occurred in wind turbine system
Author :
Ngaopitakkul, A. ; Yodkhuang, A.
Author_Institution :
Fac. of Eng., King Mongkut´´s Inst. of Technol. Ladkrbang, Bangkok, Thailand
fYear :
2011
fDate :
21-24 Nov. 2011
Firstpage :
1371
Lastpage :
1374
Abstract :
This paper proposes a technique to identify the fault type in the wind turbine system using Discrete Wavelet Transforms (DWT). The fault signals are simulated using PSCAD/EMTDC. The comparisons of the coefficients DWT have been performed in order to classify fault types. The results are shown that the algorithm is capable of performing the fault location as well as the fault types with satisfactory accuracy.
Keywords :
discrete wavelet transforms; power engineering computing; power generation faults; wind turbines; DWT; PSCAD/EMTDC; discrete wavelet transforms; fault identification; wind turbine system; Accuracy; Discrete wavelet transforms; EMTDC; Fault diagnosis; PSCAD; Fault Type; PSCAD/EMTDC; Wind Turbine; discrete wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2011 - 2011 IEEE Region 10 Conference
Conference_Location :
Bali
ISSN :
2159-3442
Print_ISBN :
978-1-4577-0256-3
Type :
conf
DOI :
10.1109/TENCON.2011.6129032
Filename :
6129032
Link To Document :
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