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Dependability assessment of a deicing system through the RAMSAS method

机译:通过RAMSAS方法评估除冰系统的可靠性

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The dependability analysis is crucial for a wide range of systems. It becomes even more difficult to assess when dealing with cyber-physical systems (CPSs), being resulting as an integration of physical and cyber parts, strongly interacting to provide a service or a function. In this context, the dependability analysis of a Deicing System (DS), which aims at preventing or decreasing the ice accretion on safety critical components of the aircraft, is experimented by exploiting the RAMSAS method, i.e. a novel model-based method to support the dependability analysis of systems. It allows the evaluation of dysfunctional behaviors of systems, through some available modeling practices combined with simulation techniques. Specifically, this paper aims at virtually assessing the design process of the DS by flexibly evaluating its performances, in terms dependability indices, through the exploitation of RAMSAS. Furthermore, it supports the engineers to compare different design choices as well as to guide them for selecting and integrating properly system components before its actual realization.
机译:可靠性分析对于广泛的系统至关重要。在处理网络物理系统(CPS)时,由于物理和网络部分的集成,强烈交互以提供服务或功能而导致的评估变得更加困难。在这种情况下,通过利用RAMSAS方法(即一种基于模型的新颖方法来支持除冰系统),对旨在防止或减少飞机安全关键部件上积冰的除冰系统(DS)的可靠性分析进行了试验。系统的可靠性分析。它允许通过一些可用的建模实践与仿真技术的结合来评估系统的功能异常行为。具体而言,本文旨在通过利用RAMSAS灵活地评估DS的性能(在可靠性指标方面),从而虚拟评估DS的设计过程。此外,它支持工程师比较不同的设计选择,并指导他们在实际实现之前选择和集成正确的系统组件。

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