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

页码：308 / 313

页数：6

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