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  • 标题:Virtual Instrument of Harmonics Detection Based on Neural Network Adaptive Filters
  • 本地全文:下载
  • 作者:Xianfeng Zheng ; Zheng Fan
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2015
  • 卷号:13
  • 期号:2
  • 页码:556-562
  • DOI:10.12928/telkomnika.v13i2.1471
  • 出版社:Universitas Ahmad Dahlan
  • 摘要:This study investigated the adaptive detection principle based on a single artificial neuron, and constructed a method for detecting harmonics using the artificial neural network technique. Based on the established method, and by comprehensively processing the obtained harmonics data using the LabVIEW software-developing environment of the virtual instrument, the harmonic waves were detected and analyzed. Finally, the analysis of current ball crusher harmonics verified that the designed system was effective.
  • 其他摘要:This study investigated the adaptive detection principle based on a single artificial neuron, and constructed a method for detecting harmonics using the artificial neural network technique. Based on the established method, and by comprehensively processing the obtained harmonics data using the LabVIEW software-developing environment of the virtual instrument, the harmonic waves were detected and analyzed. Finally, the analysis of current ball crusher harmonics verified that the designed system was effective.
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