Power Quality Disturbance Location Method Based on Morphological Undecimated Wavelet
Xiangping Meng, Yue Jin · 2013
This paper presents a novel morphological undecimated wavelet (MUDW) decomposition scheme to locate the disturbance signal with randomness, irregularity and variability. The MUDW scheme contains broad open-close or close-open filter and morphological gradient which detect mutations on the top and bottom edges of signal. The scheme meets the signal reconstruction conditions. This scheme used MATLB to detect disturbance signal, and compared with the existing form of sampling wavelet. The result shows that the new MUDW scheme can recognize and detect the signal and has good anti-noise performance.