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	Spacecraft electrical signal classification method of reliability test based on random forest
	Li, K.; Ran, R.; Song, S.; Wang, J.; Wang, L.
刊名	Lecture Notes in Electrical Engineering
	2018
卷号	456页码:457-465
关键词	Computer aided diagnosis Decision trees Fault detection Spacecraft Systems engineering Classification methods Electrical signal Feature extraction methods High dimensions Identification problem Random forest algorithm Reliability test Wavelet denoising Computational efficiency
ISSN号	9789811062315
DOI	10.1007/978-981-10-6232-2_53
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5934105
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Li, K.,Ran, R.,Song, S.,et al. Spacecraft electrical signal classification method of reliability test based on random forest[J]. Lecture Notes in Electrical Engineering,2018,456:457-465.
APA	Li, K.,Ran, R.,Song, S.,Wang, J.,&Wang, L..(2018).Spacecraft electrical signal classification method of reliability test based on random forest.Lecture Notes in Electrical Engineering,456,457-465.
MLA	Li, K.,et al."Spacecraft electrical signal classification method of reliability test based on random forest".Lecture Notes in Electrical Engineering 456(2018):457-465.

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