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
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;
Conference_Titel :
TENCON 2011 - 2011 IEEE Region 10 Conference
Conference_Location :
Bali
Print_ISBN :
978-1-4577-0256-3
DOI :
10.1109/TENCON.2011.6129032