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	Hybrid Approach for Detecting and Classifying Power Quality Disturbances Based on the Variational Mode Decomposition and Deep Stochastic Configuration Network
	Cai, Kewei; Alalibo, Belema Prince; Cao, Wenping; Liu, Zheng; Wang, Zhiqiang; Li, Guofeng
刊名	ENERGIES
	2018
卷号	11
关键词	deep stochastic configuration network (DSCN) harmonics analysis power quality (PQ) disturbance power system variational mode decomposition (VMD)
ISSN号	1996-1073
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3250519
专题	大连理工大学
作者单位	1.Dalian Ocean Univ, Coll Informat Engn, Dalian 116023, Peoples R China. 2.Aston Univ, Sch Engn & Appl Sci, Birmingham B4 7ET, W Midlands, England. 3.Aston Univ, Sch Engn & Appl Sci, Birmingham B4 7ET, W Midlands, England. 4.Dalian Univ Technol, Sch Elect Engn, Dalian 116023, Peoples R China.
推荐引用方式 GB/T 7714	Cai, Kewei,Alalibo, Belema Prince,Cao, Wenping,et al. Hybrid Approach for Detecting and Classifying Power Quality Disturbances Based on the Variational Mode Decomposition and Deep Stochastic Configuration Network[J]. ENERGIES,2018,11.
APA	Cai, Kewei,Alalibo, Belema Prince,Cao, Wenping,Liu, Zheng,Wang, Zhiqiang,&Li, Guofeng.(2018).Hybrid Approach for Detecting and Classifying Power Quality Disturbances Based on the Variational Mode Decomposition and Deep Stochastic Configuration Network.ENERGIES,11.
MLA	Cai, Kewei,et al."Hybrid Approach for Detecting and Classifying Power Quality Disturbances Based on the Variational Mode Decomposition and Deep Stochastic Configuration Network".ENERGIES 11(2018).

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