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	An Intelligent Condition Monitoring Approach for Spent Nuclear Fuel Shearing Machines Based on Noise Signals
	Chen, Jia-Hua; Zou, Shu-Liang*
刊名	Applied Sciences
	2018
卷号	8期号:5页码:838-
关键词	shearing machine condition monitoring wavelet packet transform (WPT) hidden Markov model (HMM) artificial neural network (ANN)
ISSN号	2076-3417
DOI	10.3390/app8050838
URL标识	查看原文
WOS记录号	WOS:000437326800185
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5679246
专题	南华大学
作者单位	[Chen, Jia-Hua] Univ South China, Sch Management, Hengyang 421001, Peoples R China.
推荐引用方式 GB/T 7714	Chen, Jia-Hua,Zou, Shu-Liang*. An Intelligent Condition Monitoring Approach for Spent Nuclear Fuel Shearing Machines Based on Noise Signals[J]. Applied Sciences,2018,8(5):838-.
APA	Chen, Jia-Hua,&Zou, Shu-Liang*.(2018).An Intelligent Condition Monitoring Approach for Spent Nuclear Fuel Shearing Machines Based on Noise Signals.Applied Sciences,8(5),838-.
MLA	Chen, Jia-Hua,et al."An Intelligent Condition Monitoring Approach for Spent Nuclear Fuel Shearing Machines Based on Noise Signals".Applied Sciences 8.5(2018):838-.

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