基于模型的诊断推理的系统级应用

R. A. Marcotte, M. J. Neiberg, J. M. Schoen
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引用次数: 1

摘要

由于缺乏适当的技术基础,在为未来的计算和通信系统发展适当的诊断能力方面的进展受到阻碍。在过去的十年里,人工智能领域的研究人员开发了基于模型的诊断推理技术。这些技术有潜力提供全面的诊断范围,并使设计分析过程自动化。MITRE正在开发基于通用模型的诊断系统(GMODS)的原型,该系统能够使用电路结构和行为的VHDL模型来诊断数字顺序电路中的单点和多点故障。我们概述了GMODS,并讨论了在基于模型的推理系统(如GMODS)对R&M社区具有普遍效用之前需要解决的剩余研究问题。我们还探讨了三个潜在的系统级应用领域——设计分析、仓库级诊断和嵌入式诊断。我们的结论是,设计分析和仓库级诊断是未来几年最有前途的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System-level applications of model-based diagnostic reasoning
Progress in developing adequate diagnostic capabilities for future computing and communications systems has been hampered by the lack of an adequate technological basis. Over the past decade, researchers within the artificial intelligence community have developed model-based diagnostic reasoning techniques. These techniques have the potential to provide comprehensive diagnostic coverage and to automate the design analysis process. MITRE is developing a prototype of the Generic Model-based Diagnostic System (GMODS) that is able to use VHDL models of circuit structure and behavior to diagnose single and multiple points of failure within digital sequential circuits. We provide an overview of GMODS and discuss the remaining research issues that need to be addressed before model-based reasoning systems such as GMODS will be of general utility to the R&M community. We also explore three potential system-level application areas-design analysis, depot-level diagnostics, and embedded diagnostics. We conclude that design analysis and depot-level diagnostics represent the most promising applications during the next few years.<>
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