Integrating System Failure Diagnostics Into Model-based System Engineering

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION Insight Pub Date : 2023-02-09 DOI:10.1002/inst.12412
Emile van Gerwen, Leonardo Barbini, Thomas Nägele
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引用次数: 0

Abstract

Ever-increasing system complexity is challenging for development engineers and service personnel troubleshooting system failures in the field. This paper presents a systematic, scalable approach to attain a diagnostic model. Automatic transformation into computational models is used 1) at design time to improve the diagnosability of the system, and 2) during operation for guided root cause analysis by calculating the most probable failures and suggesting diagnostic procedures based on available data and observations. The approach combines nicely with model-based systems engineering, showing the added value of using diagnostic models both during the design of a system and during operation when the system needs to be diagnosed.

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将系统故障诊断集成到基于模型的系统工程中
随着系统复杂性的不断增加,开发工程师和服务人员在现场处理系统故障时面临着巨大的挑战。本文提出了一种系统的、可扩展的方法来获得诊断模型。1)在设计时使用自动转换为计算模型来提高系统的可诊断性,2)在运行期间通过计算最可能的故障并根据可用数据和观察建议诊断程序来指导根本原因分析。该方法与基于模型的系统工程很好地结合在一起,显示了在系统设计期间和系统需要诊断时使用诊断模型的附加价值。
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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