Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DOAJarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
DOAJ
Article . 2019
Data sources: DOAJ
addClaim

Research on Fault Injection Method of Train MVB Bus

Authors: Hui SONG; Lide WANG; Zhaozhao LI; Xiaomin DU;

Research on Fault Injection Method of Train MVB Bus

Abstract

In order to extract the characteristics of the vehicle communication network fault data in different operating states and test the network performance under different performance degradation degrees, so as to facilitate the research of network fault diagnosis and health management, a MVB network fault injection device based on FPGA was designed. By studying the generation mechanism of the vehicle network faults, fault injection such as MVB network impedance mismatch, intermittent disconnection, and data frame error was realized. At the same time, taking latch metastable structure as random number entropy source, a real random number generation model based on LFSR + latch structure was proposed to simulate the occurrence of incidental and random faults.Finally, the MVB network test platform was built to further verify the feasibility of fault injection method by collecting the MVB network waveform data and extracting feature quantities under various fault modes.

Keywords

Railroad engineering and operation, fault injection, decoding, true random number, MVB network, fault diagnosis, TF1-1620

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze