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  • 标题:Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator
  • 本地全文:下载
  • 作者:R. S. Khela ; R. K. Bansal ; K. S. Sandhu
  • 期刊名称:Journal of Computer Science and Technology
  • 印刷版ISSN:1666-6046
  • 电子版ISSN:1666-6038
  • 出版年度:2006
  • 卷号:6
  • 期号:2
  • 出版社:Iberoamerican Science & Technology Education Consortium
  • 摘要:It is observed that conventional techniques toanalyse the steady state analysis of Self-ExcitedInduction Generator (SEIG) involve cumbersomemathematical procedures. In this paper an ArtificialIntelligence (AI) technique has been used toanalyse the behaviour of Self-Excited InductionGenerator, which does not require rigorousmodelling as required in conventional techniques.Proposed Artificial Neural Network (ANN) modelhas been implemented to predict the effect of speed,capacitance and load on generated voltage andfrequency of SEIG. Experimental data is used forthe training of ANN. Results obtained from thetrained ANN are found to be in close agreementwith the experimental results
  • 关键词:Self-Excited Induction Generator;Artificial Neural Networks
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