Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지

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

Wavelet 변환을 이용한 고장 전류의 판별에 관한 연구

  • Jeong, Jong-Won (Dept. of Electrical Engineering Graduate School of Dong-A University) ;
  • Jo, Hyun-Woo (Dept. of Electrical Engineering Graduate School of Dong-A University) ;
  • Kim, Tae-Woo (Dept. of Electrical Engineering Graduate School of Dong-A University) ;
  • Lee, Joon-Tark (Dept. of Electrical Engineering Graduate School of Dong-A University)
  • 정종원 (동아대학교 전기공학과 지능제어연구실) ;
  • 조현우 (동아대학교 전기공학과 지능제어연구실) ;
  • 김태우 (동아대학교 전기공학과 지능제어연구실) ;
  • 이준탁 (동아대학교 전기공학과 지능제어연구실)
  • Published : 2002.12.01

⟨ Previous Next ⟩

Abstract

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 Fourier 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 FFT (Fast Fourier Transform).

Keywords