Multi-criteria Cartography Investigation on Diagnostics and Prognostics Techniques Suited for System and Vehicle Health Maintenance

被引:0
作者
Geanta, Ioana [1 ]
Iung, Benoit [1 ]
Theilliol, Didier [1 ]
Schieber, Michel [2 ]
Fusero, Yann [2 ]
机构
[1] Univ Lorraine, CRAN, UMR 7039, CNRS, Nancy, France
[2] Cassidian Test & Serv, Syst Validat & Testabil, Colomiers, France
来源
2012 IEEE AUTOTESTCON PROCEEDINGS | 2012年
关键词
Diagnostics; Prognostics; IVHM; Model-Driven Methods; Data-Driven Methods; Experience-Driven Techniques; System and Vehicle Health Maintenance; FAULT-DETECTION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a cartography investigation on diagnostics and prognostics techniques accomplished in order to setup the health management for complex vehicle systems in accordance with IVHM (Integrated Vehicle Health Management) principles. Relevant reviews and surveys of the existing approaches are generally realized as statements of the achievements in these fields; however they rarely tackle both diagnostics and prognostics. As classic criteria do not respond to current needs in IVHM, this paper has isolated several main features in order to formally prove the accordance and the effective choice between the system-of-interest, its maintenance system and diagnostics and prognostics algorithms. Thus, the proposed criteria are oriented on the target and on the maintenance systems. The investigated classification established through a multi-criteria selection reveals new orientations which should be considered in IVHM and it also enables further research on future pertinent methods for building a smart multi-model vehicle health assessment reasoner.
引用
收藏
页码:182 / 187
页数:6
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