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KAUSAL: A New Methodological Approach for Model Based Analysis of Complex Failure Chains by Example of an Electromobility Concept

机译:葛兰尔:一种基于模型的复杂失效链模型的新方法方法,通过电动性概念

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摘要

The increasing complexity of modern products is the cause of many problems concerning safety and technical reliability. Especially in the field of public transport, the consequences of failures are disastrous. In order to prevent this matter, many techniques have been developed for failure analysis such as FMEA (Failure Mode Effects Analysis) or RBD (reliability block diagram). However, those techniques cannot handle the complexity in a mechatronic system, because they are still fragmentary. Therefore, it is necessary to develop an approach, which be able to analyze interactions between all system elements and their failures. For this purpose, the fundamental principles from Systems Engineering are an optimum solution to understand the complexity of a system in order to prevent potential failure by using a model based failure analysis. But, how can failure chains be represented and analyzed transparently in the system model? Are there any possibilities to combine determined failure chains with established methods of different disciplines for a holistic analysis? These crucial questions form the major part of this article and will be demonstrated by example of an electromobility concept.
机译:现代产品的复杂性越来越复杂是有关安全和技术可靠性的许多问题的原因。特别是在公共交通领域,失败的后果是灾难性的。为了防止此事,已经开发了许多技术用于故障分析,例如FMEA(失败模式效应分析)或RBD(可靠性框图)。然而,这些技术无法处理机电系统中的复杂性,因为它们仍然是零碎的。因此,有必要开发一种方法,能够分析所有系统元素与其故障之间的相互作用。为此目的,系统工程的基本原理是了解系统的复杂性,以防止基于模型的故障分析来防止潜在的故障。但是,如何在系统模型中透明地代表和分析故障链条?是否有可能将确定的失效链与完整的不同学科的既定方法相结合?这些关键问题形成了本文的主要部分,并将通过电动性概念的示例进行证明。

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