power quality monitoring has advanced to an important tool for system evaluation.the increased amount of recorded data requires more sophisticated analysis methods. the paper describes the development and operation of a system for automated classification of power quality events.different to existing approaches the proposed system introduces a new fr a me based event model similar to speech models of speech recognition systems.