Web-Enabled Remote Machine Monitoring and Prognostics

被引：0
|
作者：
Jay Lee
Jun Ni
机构：
[1] NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems(IMS) Department for Industrial and Manufacturing Engineering
[2] University of Wisconsin Milwaukee
[3] Wisconsin
[4] USA
[5] NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems(IMS) Department of Mechanical Engineering
[6] University of Michigan Ann
来源：
航空制造技术 | 2004年 / 04期
关键词：
CBM; Web-Enabled Remote Machine Monitoring and Prognostics; Figure; mode;
D O I：
10.16080/j.issn1671-833x.2004.04.016
中图分类号：
TP873 [远距离测量、远距离测量系统];
学科分类号：
摘要：
<正> 1 INTRODUCTION Today’s machine tool industries arefacing unprecedented challengesbrought about by development ofoutsourcing and low cost manufac-turing in Asia. Manufacturingoutsourcing provided many opportu-nities but also added challenges toproduce and deliver products with
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页码：25 / 31
页数：7
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