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Dominant failure analysis using importance measures in an automotive case-study

  • Metaadatok
Tartalom: http://hdl.handle.net/10890/55185
Archívum: Műegyetem Digitális Archívum
Gyűjtemény: 1. Tudományos közlemények, publikációk
Konferenciák gyűjteményei
BME MIT PhD Minisymposium
BME MIT PhD Minisymposium, 2024, 31th
Cím:
Dominant failure analysis using importance measures in an automotive case-study
Létrehozó:
Nagy, Simon
Vörös, András
Dátum:
2024-04-30T14:08:03Z
2024-04-30T14:08:03Z
2024
Tartalmi leírás:
The dependable operation of electronic components and subsystems is a primary concern in the automotive industry since erroneous behavior may cause serious harm to passengers. As a result, customers, regulators, and industry-specific standards define numerous extra-functional, availability, reliability, and safety requirements. Thus, electronic automotive systems may include advanced redundancy patterns, fault detection, and control mechanisms to provide fault-tolerant behavior. The complexity of automotive solutions may impose a challenge for engineers since weaknesses and inefficiencies in the system design may remain hidden during development. In reliability engineering importance measures can facilitate the identification of dominant fault contributors. This paper uses a working example inspired by realworld industrial solutions to examine the practical applicability of importance measures in modern automotive systems.
Nyelv:
angol
Típus:
könyvfejezet
Formátum:
application/pdf
Azonosító: