A Study on Feature Extraction of Transformers Aging Signal using discrete Wavelet Transform Technique

이산 웨이블렛 변환 기법을 이용한 변압기 열화신호의 특징추출에 관한 연구

  • 박재준 (중부대 리공대 정보공학부) ;
  • 권동진 (한국전력공사 전력연구원) ;
  • 송영철 (광운대 공과대 전기공학과) ;
  • 안창범 (광운대 공과대 전기공학과)
  • Published : 2001.03.01


In this paper, a new efficient feature extraction method based on Daubechies discrete wavelet transform is presented. This paper especially deals with the assessment of process statistical parameter using the features extracted from the wavelet coefficients of measured acoustic emission signals. Since the parameter assessment using all wavelet coefficients will often turn out leads to inefficient or inaccurate results, we selected that level-3 stage of multi decomposition in discrete wavelet transform. We make use of the feature extraction parameter namely, maximum value of acoustic emission signal, average value, dispersion, skewness, kurtosis, etc. The effectiveness of this new method has been verified on ability a diagnosis transformer go through feature extraction in stage of aging(the early period, the middle period, the last period)


Acoustic Emission Signals;Discrete Wavelet Transform;FIR Digital Filter;Feature Extraction;Multi-Decomposition


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