基于Modelica的可测试性评估建模技术研究

Chunling Yang, Xiaodi Gu, Min Zhu, Mingqi Li
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引用次数: 0

摘要

由于可测性物理验证存在风险大、故障注入困难、验证周期长、验证成本高等缺点。非物理验证的可测试性越来越受到重视。传统的可测试性评价模型大多只能定性地描述信号、故障和测试三者之间的关系,缺乏定量信息,可能导致验证结果与真实结果存在较大偏差。因此,本文在研究虚拟样机验证评估需求的基础上,提出了一种基于Modelica的可测试性评估建模技术,并对功能-结构-故障-测试-环境模型进行了定义和数学描述。此外,本文还建立了数据采集器的可测试性评价模型。将数值结果与可测试性物理验证结果进行对比,可以得出以下结论:在建模信息充分的情况下,利用本文提出的方法可以准确地建立可测试性评价模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Modeling Techniques of Testability Evaluation Based on Modelica
Since testability physical verification has many shortcomings, such as high risk, difficulty in fault injection, long verification period, high verification cost and so on. Testability nonphysical verification acquires more and more attentions. While most of the traditional testability evaluation models can only describe the relationship of signals, faults and tests qualitatively, they have little quantitative information and this may cause significant deviation between verification result and the real one. So after doing research on the requirements of verification evaluation to virtual Prototypes, a testability evaluation modeling techniques was proposed based on Modelica in this work and the Function-Structure-Fault-Test-Circumstance Model was also defined and described mathematically herein. Additionally, a testability evaluation model of a data collector was built in this paper. By comparing the numerical result with that of the testability physical verification, the following conclusion can be obtained: With sufficient modeling information, testability evaluation model can be built accurately by using the method put forward in this paper.
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