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
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