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Power system quality and its reliability continue to grow in importance as consumers become more sensitive and the cost of power quality problems increases. Identification and classification of voltage and current disturbances in power systems is an important task in power system monitoring and protection. Detection and classification of power system disturbances based on visual inspection of waveforms by a human operator are laborious and erroneous. Existing automatic recognition methods need much improvement in terms of their versatility, reliability, and accuracy. Sophisticated systems for…mehr

Produktbeschreibung
Power system quality and its reliability continue to grow in importance as consumers become more sensitive and the cost of power quality problems increases. Identification and classification of voltage and current disturbances in power systems is an important task in power system monitoring and protection. Detection and classification of power system disturbances based on visual inspection of waveforms by a human operator are laborious and erroneous. Existing automatic recognition methods need much improvement in terms of their versatility, reliability, and accuracy. Sophisticated systems for automatic classification of power quality disturbances are highly desired for both power suppliers and consumers. The objective of this research is to develop state of the art signal classification algorithms for classifying different types of power quality disturbances, based on the recent advances in signal processing and pattern classification techniques. This research presents a power quality monitoring system for classifying voltage and current waveform events that are related to a variety of power quality problems.
Autorenporträt
Dr. P. Chandrasekar received B Tech degree from Pondicherry Engineering College, Pondicherry in 1997. ME in Power Systems Engineering from Anna University, Chennai in 2002 and Ph.D degree in Electrical Engineering from Anna University, Chennai in 2013. Presently, Professor-EEE in Vel Tech University, Chennai.