Fault-diagnosis of subsea robots using neuro-symbolic hybrid systems

被引:0
作者
Deuker, B [1 ]
Perrier, M [1 ]
Amy, B [1 ]
机构
[1] IFREMER, Subsea Robot & Artificial Intelligence Lab, F-83507 Le Seyne Sur Mer, France
来源
OCEANS'98 - CONFERENCE PROCEEDINGS, VOLS 1-3 | 1998年
关键词
underwater vehicles; model-based diagnosis; neuro-symbolic hybrid system;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper we describe a diagnosis phase, part of a study currently performed on subsea robots health monitoring. The overall objective of this study is to allow a subsea robot victim of a subsystem failure to keep executing its mission with a certain level of performance. The current development of the diagnosis phase is based on the use of neuro-symbolic hybrid systems. With this solution, the system is able to learn when it meets unforeseen failures.
引用
收藏
页码:830 / 834
页数:5
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