适用于系统和车辆健康维护的诊断和预测技术的多标准制图研究

Ioana Geanta, Benoît Iung, Didier Theilliol, Michel Schieber, Yann Fusero
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引用次数: 1

摘要

本文提出了基于综合车辆健康管理(IVHM)原则的复杂车辆系统健康管理的诊断和预测技术的制图研究。对现有办法的有关审查和调查一般是作为对这些领域的成就的陈述;然而,他们很少同时处理诊断和预后。由于经典标准已不能满足当前IVHM的需求,本文分离了几个主要特征,以正式证明利益系统、利益系统维护系统和诊断与预测算法之间的一致性和有效选择。因此,建议的标准是针对目标和维护系统的。通过多准则选择建立的分类揭示了IVHM中需要考虑的新方向,也为未来构建智能多模型车辆健康评估推理器的相关方法提供了进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-criteria cartography investigation on diagnostics and prognostics techniques suited for system and vehicle health maintenance
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.
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