Field Test of a System for Automated Classification of Power Quality Disturbances

نویسندگان

  • H. Englert
  • J. Stenzel
چکیده

Power quality monitoring has advanced to an important tool for system evaluation and solving power-related problems. As a consequence the increased amount of recorded data requires more sophisticated analysis methods. The paper proposes a system for automated recording and classification of power quality disturbances. The system features statistical classification techniques applied to a frame-based event model. Results and experiences made by a test in a low-voltage power system are presented. Keywords— Classification system, field test, power quality, power quality monitoring.

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تاریخ انتشار 2001