Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree

A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances

“…In [89] a combination of ST and HMM was proposed for PQ disturbances classification. In [90,91] authors proposed a Fast Dyadic ST (FDST) algorithm based Fuzzy Decision Tree (FDT) based classifier for the classification of PQ disturbances. In the classification process, the FDST was used for accurate time-frequency localization, DT for optimal feature selection and Fuzzy rules were used for pattern classification.…”

“…A Fuzzy Rule-Based classifier was built to distinguish between an islanding and a non-islanding event. In [90] authors proposed a FDST feature extraction based fuzzy decision tree to detect and classify various single and multiple PQ disturbances simultaneously.…”

A method based on independent component analysis for single and multiple power quality disturbance classification

“…The authors in [5] have used ant colony optimization technique for disturbance classification in which four classes of multiple disturbances were considered: sag or swell with harmonics, flicker with harmonics and interruption with harmonics. The authors in [6] have used a Stransform variant and Fuzzy decision tree for classifying six classes of multiple disturbances: sag or swell with transient, swell with harmonics, harmonics with notch or flicker and spike with transient. In [7], sag or swell with harmonics, sag or swell with transient and sag or swell with flicker were combined allowing the classification of six classes of multiple disturbances by using fuzzy logic and particle swarm optimization.…”

Hybrid Methods for Fast Detection and Characterization of Power Quality Disturbances

“…At each decomposition level, those features are extracted. The equations of the features are given below (Lee and Shen 2011;Biswal and Dash 2013;Panigrahi and Pandi 2009).…”