SCIENCE@home

The Application of Data Mining in Fault Location of Computer Interlocking System in Railway Signling

Lujian Huang

Published 2020 in 2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)

ABSTRACT

The complex faults in computer interlocking systems require experienced technicians to locate them by filtering and analyzing a large amount of system log information. This paper, data mining algorithm is introduced to pick up the feature variables that have the most important impact on the target variable (fault state variable) from multiple feature variables, so as to narrow and locate the fault range. The effectiveness of this method is verified by the real failure case, which provides a novel method for fault location of computer interlocking system.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)

  • Publication date

    2020-04-01

  • Fields of study

    Computer Science, Engineering

  • Identifiers
    DOI 10.1109/ICCCBDA49378.2020.9095590
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

CITED BY