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<div><p>To further enhance the residual current detection capability of low-voltage distribution networks, an improved adaptive residual current detection method that combines variational modal decomposition (VMD) and BP neural network (BPNN) is proposed. Firstly, the method employs the...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yunpeng Bai (1714087) (author)
مؤلفون آخرون:	Xiangke Zhang (10998486) (author), Yajing Wang (447120) (author), Lei Wang (6656) (author), Qinqin Wei (2168119) (author), Wenlei Zhao (11995424) (author)
منشور في:	2024
الموضوعات:	Molecular Biology Cancer Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified voltage distribution networks variational modal decomposition least mean square interrelation number r bp neural network also statistically analyzed experimental data level experimental data demonstrate residual current signals particle swarm algorithm vmd decomposition using high detection accuracy bpnn </ p high accuracy training data extracted signals detection methods algorithm presented xlink "> term memory smirnov test pso ), noise ratio method employs long short improved vmd envelope entropy demonstrated significance classification index certain reference bacterial foraging ambient noise algorithms presented adaptability function
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