Advanced Feature Extraction Tool for Power Quality Disturbances Using Discrete Wavelet Transform and Multi-Resolution Analysis

The DWT MRA Feature Extraction App is a specialized tool designed for extracting statistical features from power quality disturbance (PQD) signals using Discrete Wavelet Transform (DWT) and Multi-Resolution Analysis (MRA). Researchers can import PQD data and select the desired mother wavelet and level of decomposition to perform wavelet-based analysis. The app allows users to extract a comprehensive set of statistical features, such as mean, standard deviation, skewness, kurtosis, and energy, from the wavelet coefficients. Additionally, users can choose to normalize or standardize these features before exporting them for further analysis or machine learning classification. This app streamlines the feature extraction process, offering a powerful, no-code solution for detailed PQD signal analysis.