Power quality detection and classification using wavelet-multiresolution signal decomposition

The wavelet lransform is inuoduccd as a powerful tool for monitoring power quality problems generated due to dynamic performance of induslrial plants. The paper presents a inultiresolution signal decomposition technique as an efficient mc t h ~ lin analyzing tmnsicnt events. The multiresolution signal decomposition has the ability to detect and lociilize transient events and tiirthcrmore classify tlcfercnt power quality disturbances. It can also bc used to distinguish among similar disturhanccs.