A Study on Signal Feature Extraction of Partial Discharge Types Using Discrete Wavelet Transform Technique

이산웨이블렛 변환기법을 이용한 부분방전종류의 신호특징추출에 관한연구

  • Park, Jae-Jun (Joongbu University, Division of Information Engineering, Major of Electrical. Electronic Engineering) ;
  • Jeon, Byung-Hoon (Joongbu University, Division of Information Engineering, Major of Electrical. Electronic Engineering) ;
  • Kim, Jin-Seong (Joongbu University, Division of Information Engineering, Major of Electrical. Electronic Engineering) ;
  • Jeon, Hyun-Gu (Joongbu University, Division of Information Engineering, Major of Electrical. Electronic Engineering) ;
  • Baek, Kwan-Hyun (Doo Won Technical College)
  • 박재준 (중부대학교 정보공학부 전기.전자공학) ;
  • 전병훈 (중부대학교 정보공학부 전기.전자공학) ;
  • 김진승 (중부대학교 정보공학부 전기.전자공학) ;
  • 전현구 (중부대학교 정보공학부 전기.전자공학) ;
  • 백관현 (두원공과대학 전기과)
  • Published : 2002.05.17

Abstract

In this papers, we proposed the feature extraction method due to partial discharge type of transformers. For wavelet transform, Daubechie's filter is used, we can obtain wavelet coefficients which is used to extract feature of statistical parameters (maximum value, average value, dispersion, skewness, kurtosis) about acoustic emission signal generated from each partial discharge type. The defects which could occur in a transformer were simulated by using needle-plane electrode, IEC electrode and Void electrode. Also, these coefficients are used to identify signal of partial discharge type electrode fault in transformer. As a result, from compare of acoustic emission amplitude and acoustic average value, we are obtained results of IEC electrode> Void electrode> Needle-Plane electrode. otherwise, In case of skewness and kurtosis, we are obtained results of Needle-Plane electrode electrode> Void electrode> IEC electrode.

Keywords