A Review of Prognostics and Health Monitoring Techniques for Autonomous Ocean Systems

被引：0
|
作者：
Wald, Randall [1 ]
Khoshgoftaar, Taghi M. [1 ]
Beaujean, Pierre-Philippe [1 ]
Sloan, John C. [1 ]
机构：
[1] Florida Atlantic Univ, Boca Raton, FL 33431 USA
来源：
16TH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN | 2010年
关键词：
prognostics and health monitoring; machine condition monitoring; autonomous ocean systems; neural networks; RESIDUAL LIFE; MODEL;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Prognostics and health monitoring (PHM) is an important and growing focus in the design and maintenance of complex systems. It is being applied to a wide range of problems, from industrial machines to avionics systems to batteries. In this paper, we review existing work in the context of a novel application: repair and maintenance of autonomous ocean systems, one example being a fleet of ocean turbines. Various approaches to PHM are considered, including model- and data-driven techniques as well as hybrid strategies.
引用
收藏
页码：308 / 313
页数：6
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