Series AC Arc Fault Detection Method Based on Hybrid Time and Frequency Analysis and Fully Connected Neural Network

The variety of arc fault induced by different load types makes residential series arc fault detection complicated and challengeable. This paper proposes a hybrid time and frequency analysis and fully connected neural network (HTFNN) based method to identify series ac arc fault. The HTFNN method reco...

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Vydané v:	IEEE transactions on industrial informatics Ročník 15; číslo 12; s. 6210 - 6219
Hlavní autori:	Wang, Yangkun, Zhang, Feng, Zhang, Xueheng, Zhang, Shiwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.12.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	AC power distribution arc discharge Artificial neural networks Complexity Computing costs Fault detection fault diagnosis Frequency analysis fully connected neural network Harmonic analysis Heating systems Neural networks Resonant frequencies Test procedures time and frequency analysis Time-frequency analysis
ISSN:	1551-3203, 1941-0050
On-line prístup:	Získať plný text
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