Systematic Identification and Analysis of Hazards for Automated Systems

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION
Insight Pub Date : 2025-04-08 DOI:10.1002/inst.12530
Lina Putze, Eckard Böde
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引用次数: 0

Abstract

The introduction of automation into technical systems promises many benefits, including performance increase, improved resource economy, and fewer harmful accidents. In particular, in the automotive sector, automated driving is seen as one key element in Vision Zero by eliminating common accident causes such as driving under the influence, reckless behavior, or distracted drivers. However, this is contrasted by new failure modes and hazards from the latest technologies. In this article, we address the problems of finding common sources of criticality for specific application classes and identifying and quantitatively assessing new sources of harm within particular automated driving systems.

自动化系统危险的系统识别与分析
在技术系统中引入自动化技术有许多好处,包括提高性能、改善资源经济性和减少有害事故。特别是在汽车领域,自动驾驶被视为 "零事故愿景 "的一个关键因素,它消除了常见的事故原因,如酒后驾驶、鲁莽行为或驾驶员分心。然而,与此形成鲜明对比的是最新技术带来的新故障模式和危害。在本文中,我们将探讨如何为特定应用类别找到共同的关键源,以及如何识别和定量评估特定自动驾驶系统中新的危害源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Insight
Insight 工程技术-材料科学:表征与测试
CiteScore
1.50
自引率
9.10%
发文量
0
审稿时长
2.8 months
期刊介绍: Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
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