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IEEE Power Engineering Society General Meeting, 2004.
With an increasing usage of sensitive electronic equipment power quality has become a major concern now. One critical aspect of power quality studies is the ability to perform automatic power quality data analysis and categorization. The objective of this paper is to present a technique based on fuzzy logic to categorize power quality events and to simulate the impact of power quality on sensitive equipment. Inherent features are extracted from recorded waveforms using Fourier and waveletdoi:10.1109/pes.2004.1372855 fatcat:te7cgkxwhzdk7abygbcxyngidy