Automated classification of power quality events using speech recognition techniques

Power quality monitoring has advanced to an important tool for system evaluation. The increased amount of recorded data requires more sophisticated analysis meth- ods. The paper describes the development and operation of a system for automated classification of power quality events. Different to existing approaches the proposed system intro- duces a new frame-based event model similar to speech mod- els of speech recognition systems.