Power Quality Disturbances Detection and Classification Rule-Based Decision Tree

• DOI: 10.37394/232014.2021.17.3
• Publication Date: 2021-04-15T12:24:20Z
• Authors: Fouad R. Zaro
• Keywords: Engineering; Mühendislik; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Stockwell Transform;Feature extraction;Time frequency analysis;Rule-based decision tree.;Power quality disturbance

In this paper, the power quality (PQ) disturbances have been detected and classified using Stockwell’s transform (S-transform) and rule-based decision tree (DT) according to IEEE standards. The proposed technique based on the extracted features of the PQ events signals, which are extracted from the timefrequency analysis. Several PQ disturbances are considered with simple and complex disturbances to include spike, flicker, oscillatory transient, impulsive transient, and notch. The performance and robustness of the proposed technique for the recognition of PQ disturbances have been demonstrated through the results of the various disturbances. By comparing the performance of the proposed technique with other reported studies it was distinguished results under noiseless and noisy conditions