独立成分分析とベイジアンネットを適用した電磁波到来角推定法による複数部分放電源の位置標定 Location Technique for Multiple Partial Discharge Sources using Independent Component Analysis and Direction of Arrival Method of Electromagnetic Waves based on Bayesian Network

この論文にアクセスする

この論文をさがす

著者

抄録

We propose the new locating method for multiple partial discharge sources using independent component analysis (ICA) and direction of arrival method of electromagnetic (EM) waves based on Bayesian Network. The proposed method consists of the following steps. First, the observed signals are converted from the time domain to the frequency domain through the short time Fourier transform (STFT). As the result of this process, ICA for convolved mixture turns into ICA for instantaneous mixture. In order to separate mixed signals, we use the fast ICA algorithm (FastICA) that is based on negentropy as a measure of nongaussianity. Next, we apply the direction of arrival method of EM waves using Bayesian Network to the separated source signals by ICA. Signal sources are estimated by calculating intersection point from the arrival angle. Simulation results showed that our method located multiple signal sources when the observed signals were the convolved mixture of original sources.

収録刊行物

  • 電気学会論文誌. B, 電力・エネルギー部門誌 = The transactions of the Institute of Electrical Engineers of Japan. B, A publication of Power and Energy Society  

    電気学会論文誌. B, 電力・エネルギー部門誌 = The transactions of the Institute of Electrical Engineers of Japan. B, A publication of Power and Energy Society 126(12), 1247-1254, 2006-12-01 

    The Institute of Electrical Engineers of Japan

参考文献:  17件

参考文献を見るにはログインが必要です。ユーザIDをお持ちでない方は新規登録してください。

被引用文献:  3件

被引用文献を見るにはログインが必要です。ユーザIDをお持ちでない方は新規登録してください。

各種コード

  • NII論文ID(NAID)
    10018410613
  • NII書誌ID(NCID)
    AN10136334
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    03854213
  • NDL 記事登録ID
    8592169
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-794
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
ページトップへ