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Application of a modeling approach on a cyber-physical system 'RobAIR'

机译:建模方法在网络物理系统“ RobAIR”上的应用

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This paper proposes a new method of fault diagnosis of cyber-physical systems (CPS). The complexity of these systems in heterogeneous technologies require elaborate diagnostic techniques and maintenance. We illustrate our methodology on a telepresence robot "RobAIR" as an example of CPS. First, we applied a knowledge modeling approach on this case study through the representation of four types of knowledge: functional, structural, topological and behavioral. These representations are achieved using a modeling tool "Papyrus". Secondly, from knowledge representation, three algorithms for detection and fault identification are proposed to remove the ambiguity in functions and components. These algorithms will be explained through the RobAIR example.
机译:本文提出了一种新的网络物理系统故障诊断方法。这些系统在异构技术中的复杂性要求精心的诊断技术和维护。我们以网真机器人“ RobAIR”为例,说明了我们的方法。首先,我们通过四种知识的表示形式在此案例研究中应用了知识建模方法:功能,结构,拓扑和行为。这些表示是通过使用建模工具“ Papyrus”来实现的。其次,从知识表示的角度出发,提出了三种检测和故障识别算法,以消除功能和组件的歧义。这些算法将通过RobAIR示例进行说明。

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