QQ客服 官方微博 反馈留言

	A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction
	Lei, Yaguo; Li, Naipeng; Lin, Jing
刊名	IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
	2016
卷号	65期号:[db:dc_citation_issue]页码:2671-2684
关键词	Condition-based maintenance (CBM) stochastic process model remaining useful life (RUL) prediction Kalman particle filtering (PF) machinery
ISSN号	0018-9456
DOI	[db:dc_identifier_doi]
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/3230212
专题	西安交通大学
推荐引用方式 GB/T 7714	Lei, Yaguo,Li, Naipeng,Lin, Jing. A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2016,65([db:dc_citation_issue]):2671-2684.
APA	Lei, Yaguo,Li, Naipeng,&Lin, Jing.(2016).A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,65([db:dc_citation_issue]),2671-2684.
MLA	Lei, Yaguo,et al."A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 65.[db:dc_citation_issue](2016):2671-2684.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。