전력전자학회:학술대회논문집 (Proceedings of the KIPE Conference)
- 전력전자학회 2005년도 전력전자학술대회 논문집
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- Pages.192-194
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- 2005
PCA를 이용한 전력품질 특징분석
A Feature Analysis of the Power Quality Problem by PCA
- 이진목 (충북대학교 전기전자 및 컴퓨터공학부) ;
- 홍덕표 (충북대학교 전기전자 및 컴퓨터공학부) ;
- 김수철 (충북대학교 전기전자 및 컴퓨터공학부) ;
- 최재호 (충북대학교 전기전자 및 컴퓨터공학부) ;
- 홍현문 (동해대학교 전기전자공학과)
- Lee, Jin-Mok (School of Electrical and Computer Engineering, Chungbuk National University) ;
- Hong, Duc-Pyo (School of Electrical and Computer Engineering, Chungbuk National University) ;
- Kim, Soo-Cheol (School of Electrical and Computer Engineering, Chungbuk National University) ;
- Choi, Jae-Ho (School of Electrical and Computer Engineering, Chungbuk National University) ;
- Hong, Hyun-Mun (Department of Electric and Electronic Engineering, Dong Hae University)
- 발행 : 2005.07.04
초록
Development of nonlinear loads and compensation instruments make PQ(Power Quality) problem into important issue. Few studies by signal processing and pattern classification as NN(Neural Network), Wavelet Transform, and Fuzzy present feature extraction. A lot of Input features make not always good result and they are difficult to make realtime system. Thus, The dimentionality reduction is indispensable process. PCA(Principal Component Analysis) reduces high-dimensional input features onto a lower-dimensional subspace effectively. It will be useful to apply to realtime system and NN.
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