说明：  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.