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	Remaining useful life estimation using an inverse Gaussian degradation model (EI收录)
	Pan, Donghui[1]; Liu, Jia-Bao[2]; Cao, Jinde[3]
刊名	Neurocomputing
	2016
卷号	185页码:64-72
关键词	Algorithms Bayesian networks Gaussian distribution Gaussian noise (electronic) Image segmentation Inverse problems Maximum principle Random processes Risk perception Systems engineering
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/2196191
专题	华南理工大学
作者单位	1.[1] School of Mathematical Sciences, Anhui University, Hefei, China 2.[2] Department of Public Courses, Anhui Xinhua University, Hefei, China 3.[3] Research Center for Complex Systems and Network Science, Department of Mathematics, Southeast University, Nanjing, China
推荐引用方式 GB/T 7714	Pan, Donghui[1],Liu, Jia-Bao[2],Cao, Jinde[3]. Remaining useful life estimation using an inverse Gaussian degradation model (EI收录)[J]. Neurocomputing,2016,185:64-72.
APA	Pan, Donghui[1],Liu, Jia-Bao[2],&Cao, Jinde[3].(2016).Remaining useful life estimation using an inverse Gaussian degradation model (EI收录).Neurocomputing,185,64-72.
MLA	Pan, Donghui[1],et al."Remaining useful life estimation using an inverse Gaussian degradation model (EI收录)".Neurocomputing 185(2016):64-72.

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