IEEE Standards for Prognostics and Health Management

被引：0
|
作者：
Sheppard, John W. [1 ]
Kaufinan, Mark A.
Wilmering, Timothy J. [2 ,3 ]
机构：
[1] Johns Hopkins Univ, 3400 N Charles St, Baltimore, MD 21218 USA
[2] NSWC Corona Div, Corona, CA 92878 USA
[3] Boeing Co, St Louis, MO 63166 USA
来源：
2008 IEEE AUTOTESTCON, VOLS 1 AND 2 | 2008年
关键词：
Prognostics; PHM; CBM; AI-ESTATE; SIMICA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recently, operators of complex systems such as aircraft, power plants, and networks, have been emphasizing the need for online health monitoring for purposes of maximizing operational availability and safety. The discipline of prognostics and health management (PHM) is being formalized to address the information management and prediction requirements for addressing these needs. In this paper, we will explore how standards currently under development within the IEEE can be used to support PHM applications. Particular emphasis will be placed on the role of PHM and PHM-related standards with Department of Defense (DOD) automatic test systems-related research.
引用
收藏
页码：515 / +
页数：2
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