2015
DOI: 10.1016/j.jesit.2015.03.015
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Fault identification in electrical power distribution system using combined discrete wavelet transform and fuzzy logic

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Cited by 54 publications
(27 citation statements)
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“…Other works that have used the WT are the systems for electric power distribution. Jamil et al [106] implement an algorithm based on fuzzy logic that uses the DWT to identify 10 different types of faults in an electrical power distribution system. For high impedance fault detection in electrical distribution networks, the WT extracts dynamic characteristics to feed a decision-making system based on SVM [107].…”
Section: Hybrid Techniquesmentioning
confidence: 99%
“…Other works that have used the WT are the systems for electric power distribution. Jamil et al [106] implement an algorithm based on fuzzy logic that uses the DWT to identify 10 different types of faults in an electrical power distribution system. For high impedance fault detection in electrical distribution networks, the WT extracts dynamic characteristics to feed a decision-making system based on SVM [107].…”
Section: Hybrid Techniquesmentioning
confidence: 99%
“…Алгоритм выявления повреждений в сети с распределенной генерацией и последующего восстановления нормальной работы рассмотрен в [14]. Оптимизации размещения устройств ОМП в электрической сети, действующих на основе генетического алгоритма Чу-Бэсли, посвящена статья [15]. Алгоритм идентификации вида повреждений на основе нечеткой логики с использованием дискретного вейвлет-преобразования разработан авторами [16].…”
Section: обзор публикаций посвященных методам определения мест повреunclassified
“…This was the case in [1], where fuzzy logicbased fault identification in an electric power distribution system was studied and proven to produce accurate classifications of fault types. In addition, the fuzzy logic method was used in combination with discrete wavelet transform and resulted in accurate fault identification [2]. In [3], the data collected by alarms and protection relays in a power network was analyzed with neurofuzzy techniques.…”
Section: Related Workmentioning
confidence: 99%
“…represents the fault impedance, represents the impedance at bus , (0) , (1) , (2) are the zero, positive, and negative sequence fault currents in Phase A, respectively, and is the per unit voltage at the fault point: …”
Section: Fault Analysismentioning
confidence: 99%