• Medientyp: E-Artikel
  • Titel: Research on Intelligent Detection Technology of Short-term Flashover Fault in High-Power Main Network Power Systems
  • Beteiligte: Yimin, Ding; Hai, Jin; Ming, Fan
  • Erschienen: IOP Publishing, 2019
  • Erschienen in: Journal of Physics: Conference Series
  • Umfang: 052044
  • Sprache: Nicht zu entscheiden
  • DOI: 10.1088/1742-6596/1345/5/052044
  • ISSN: 1742-6588; 1742-6596
  • Schlagwörter: General Physics and Astronomy
  • Zusammenfassung: <jats:title>Abstract</jats:title> <jats:p>Traditional detection techniques are affected by surrounding factors and cannot accurately determine the location of the fault point. In order to solve the problem, a short-term flashover fault intelligent detection method in the paper is proposed for high-power main network power system. The short-term flashover fault feature of the high-power main network power system is extracted by the wavelet-type wavelet packet energy moment. The CPRS networking mode is used to intelligently detect the short-term flashover fault of the high-power main network power system. Experiments show that the proposed technique is more accurate than traditional detection techniques.</jats:p>
  • Beschreibung: <jats:title>Abstract</jats:title>
    <jats:p>Traditional detection techniques are affected by surrounding factors and cannot accurately determine the location of the fault point. In order to solve the problem, a short-term flashover fault intelligent detection method in the paper is proposed for high-power main network power system. The short-term flashover fault feature of the high-power main network power system is extracted by the wavelet-type wavelet packet energy moment. The CPRS networking mode is used to intelligently detect the short-term flashover fault of the high-power main network power system. Experiments show that the proposed technique is more accurate than traditional detection techniques.</jats:p>
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  • Zugangsstatus: Freier Zugang