Abstract
This paper presents Dual Tree Complex Wavelet Transform (DTCWT) based approach for Power Quality (PQ) disturbance recognition. PQ disturbance recognition has been carried out using wavelet transform, S-transform for feature extraction combined with ANN or fuzzy logic for disturbance classification. But the proposed method for PQ event classification which combines DTCWT with ANN based binary classifiers efficiently detects the PQ disturbance events. The proposed method is feasible and promising for real applications.
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