Kereső
Bejelentkezés
Kapcsolat
Dominant failure analysis using importance measures in an automotive case-study |
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: |