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	A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine
	Gao, Q. W.[1,4]; Liu, W. Y.[1,3]; Tang, B. P.[2]; Li, G. J.[1]
	2018
卷号	116页码:169-175
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/3183073
专题	重庆大学
推荐引用方式 GB/T 7714	Gao, Q. W.[1,4],Liu, W. Y.[1,3],Tang, B. P.[2],et al. A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine[J],2018,116:169-175.
APA	Gao, Q. W.[1,4],Liu, W. Y.[1,3],Tang, B. P.[2],&Li, G. J.[1].(2018).A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine.,116,169-175.
MLA	Gao, Q. W.[1,4],et al."A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine".116(2018):169-175.

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