2020
DOI: 10.11591/ijece.v10i1.pp681-689
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Voltage variations identification using gabor transform and rule-based classification method

Abstract: This paper presents a comparatively contemporary easy to use technique for the identification and classification of voltage variations. The technique was established based on the Gabor Transform and the rule-based classification method. The technique was tested by using mathematical model of Power Quality (PQ) disturbances based on the IEEE Std 519-2009. The PQ disturbances focused were the voltage variations, which included voltage sag, swell and interruption. A total of 80 signals were simulated from the mat… Show more

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Cited by 3 publications
(4 citation statements)
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“…As a result, the value cannot be lower than 0.95, also it cannot be higher than 1.05. 0.95 ≤ 𝑉 𝐿 ≤ 1.05 (13) The THD of the voltage (THD v ) of the second feeder, given by ( 14), should be below its maximum value (𝑇𝐻𝐷 𝑉.𝑚𝑎𝑥 )as shown in (15) reported in IEEE standard 519,…”
Section: The Imposed Constraintsmentioning
confidence: 99%
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“…As a result, the value cannot be lower than 0.95, also it cannot be higher than 1.05. 0.95 ≤ 𝑉 𝐿 ≤ 1.05 (13) The THD of the voltage (THD v ) of the second feeder, given by ( 14), should be below its maximum value (𝑇𝐻𝐷 𝑉.𝑚𝑎𝑥 )as shown in (15) reported in IEEE standard 519,…”
Section: The Imposed Constraintsmentioning
confidence: 99%
“…Gabor transform (GT) [15] discussed a method and a technique to detect and classify the disturbance waveforms respectively. That it can be performed by other time-frequency analysis techniques to acquire the features.…”
mentioning
confidence: 99%
“…Simple decision trees are used in the classification of multiple PQDs [42, 49, 66, 70, 75, 77, 85-87, 89, 96-99, 101, 102, 109, 114, 117, 118, 128]. Some variants such as random forest [102,105,112,126] and bagging predictor [97,98] and rule-based classifiers [72,80,91,122], have been also used in the literature for multiple PQD classification. Rule-based classifiers are also used in [140,151,152] for voltage sag classification and in [200] for voltage notches, whereas decision trees are used in ensemble models as weak classifiers in combination with other methods [185] for voltage sag classification.…”
Section: Decision Treesmentioning
confidence: 99%
“…As most of the industries are automated, the entire operation of the industries depends upon the operating condition of these sensitive loads. When sag or swell occurs in the industrial areas, these sensitive loads are getting affected, leading to immoral operation of the entire industry [1][2][3][4][5][6][7][8]. For the compensation of voltage sag, Dynamic Voltage Restorer (DVR) considered to be an effective device when compared to other devices like UPS, STATCOM [9][10][11].…”
Section: Introductionmentioning
confidence: 99%