Title :
Power quality detection and classification using wavelet-multiresolution signal decomposition
Author :
Gaouda, A.M. ; Salama, Magdy M. A. ; Sultan, M.K. ; Chikhani, A.Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
fDate :
10/1/1999 12:00:00 AM
Abstract :
The wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to the dynamic performance of industrial plants. The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify different power quality disturbances. It can also be used to distinguish among similar disturbances
Keywords :
industrial power systems; power supply quality; power system faults; power system measurement; wavelet transforms; dynamic performance; industrial plants; multiresolution signal decomposition; power quality detection; power quality detection and classification; power quality disturbances; power system monitoring; wavelet-multiresolution signal decomposition; Computerized monitoring; Educational institutions; Military computing; Multiresolution analysis; Power quality; Signal analysis; Signal resolution; Voltage fluctuations; Wavelet analysis; Wavelet transforms;
Journal_Title :
Power Delivery, IEEE Transactions on
