A Study on the Application of Wavelet Transform to Faults Current Discrimination

Wavelet 변환을 이용한 고장전류의 판별에 관한 연구

  • 조현우 (동아대학교 대학원 전기공학과) ;
  • 정종원 (동아대학교 대학원 전기공학과) ;
  • 윤기영 (동아대학교 대학원 전기공학과) ;
  • 김태우 (한국전력공사 부산전력관리처) ;
  • 이준탁 (동아대학교 전기 · 전자 · 컴퓨터 공학부)
  • Published : 2002.05.01


Recently the subject of "wavelet analysis" has be drawn by both mathematical and engineering application fields such as Signal Processing, Compression/Decomposition, Wavelet-Neural Network, Statistics and etc. Even though its similar to courier analysis, wavelet is a versatile tool with much mathematical content and great potential for applications. Especially, wavelet transform uses localizable various mother wavelet functions in time-frequency domain. Therefore, wavelet transform has good time-analysis ability for high frequency component, and has good frequency-analysis ability for low frequency component. Using the discriminative ability is more easy method than other conventional techniques. In this paper, Morlet wavelet transform was applied to discriminate the kind of line fault by acquired data from real power transformation network. The experimental result presented that Morlet wavelet transform is easier, and more useful method than the FFW (Fast courier Transform).ransform).