Standardizing Research Methods for Prognostics

被引:0
|
作者
Uckun, Serdar [1 ]
Goebel, Kai [2 ]
Lucas, Peter J. F. [3 ]
机构
[1] Xerox Corp, Palo Alto Res Ctr, 3333 Coyote Hill Rd, Palo Alto, CA 94304 USA
[2] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA
[3] Univ Nijmegen, Inst Comp & Informat Sci, Nijmegen, Netherlands
来源
2008 INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (PHM) | 2008年
关键词
Prognostics; Prognostics and Health Management; Research Methods; Performance Metrics;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Prognostics and health management (PHM) is a maturing system engineering discipline. As with most maturing disciplines, PHM does not yet have a universally accepted research methodology. As a result, most component life estimation efforts are based on ad-hoc experimental methods that lack statistical rigor. In this paper, we provide a critical review of current research methods in PHM and contrast these methods with standard research approaches in a more established discipline (medicine). We summarize the developmental steps required for PHM to reach full maturity and to generate actionable results with true business impact.
引用
收藏
页码:191 / +
页数:3
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