Power Quality Disturbances Detection and Classification Rule-Based Decision Tree

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International Journal of Engineering Science and Application
Volume:5 Issue:1
Power Quality Disturbances Detection and Classification Rule-Based Decision Tree

Power Quality Disturbances Detection and Classification Rule-Based Decision Tree

Authors : Fouad ZARO

Pages : 1-6

View : 39 | Download : 9

Publication Date : 2021-03-31

Article Type : Research Paper

Abstract :In this paper, the power quality insert ignore into journalissuearticles values(PQ); disturbances have been detected and classified using Stockwell’s transform insert ignore into journalissuearticles values(S-transform); and rule-based decision tree insert ignore into journalissuearticles values(DT); according to IEEE standards. The proposed technique based on the extracted features of the PQ events signals, which are extracted from the time-frequency 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.
Keywords : Stockwell Transform, Feature extraction, Time frequency analysis, Rule based decision tree, Power quality disturbance

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