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Reliability Assessment on CTCS-3 Train Control System Using Faults Trees and Bayesian Networks

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJCA) 바로가기
  • 간행물
    International Journal of Control and Automation SCOPUS 바로가기
  • 통권
    Vol.6 No.4 (2013.08)바로가기
  • 페이지
    pp.271-292
  • 저자
    Hongsheng Su, Yulong Che
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A207812

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원문정보

초록

영어
China Train Control System (CTCS-3) is a safety critical computer system that features large-scale, complex structure, and redundant configuration. CTCS-3 and as well as the equipment and technologies related to it can ensure the safety and reliability running of high-speed trains, and so the assessment on its reliability becomes very important. Generally, the two elements such as common cause factor (CCF) and failure mode polymorphism can not be ignored when assessing the reliability on a large complicated system. There are some limitations existing when applying the traditional fault tree analysis (FTA) is used to deal with the two factors mentioned above, and considering that Bayesian network (BN) possesses the abilities of bidirectional reasoning and the uncertain knowledge solving, and therefore BN is introduced to change the flaws. The method firstly establishes the FTA model of system from top to bottom, and then converts the FTA model into BN model from the lower to the upper, hierarchically. Eventually, the reliability indices are calculated using the BN with regard to the CCF and multi-state factors. Through integrating and evaluating sub-models using the approach with FTA combined with BN in the CTCS-3 system, some interesting results are acquired. The relative results show that the proposed approach is quite effective, and also provides a theoretical basis to improve the system reliability.

목차

Abstract
 1. Introduction
 2. CTCS-3 train control system and fault tree model
  2.1. CTCS-3 train control system
  2.2. CTCS-3 train control system fault tree model
 3. Theory of Bayesian Networks
  3.1. Architecture of Bayesian Networks
  3.2. BN nature in reliability
  3.3. Mapping fault trees to Bayesian Networks
 4. Reliability modeling methods on CCF and MSS in BN
  4.1. Reliability model of common cause failure in BN
  4.2. Reliability model of multi-state system in BN
 5. Reliability modeling of CTCS-3 train control system based on BN
  5.1. Reliability calculation of the root node considering CCF
  5.2. Reliability Assessment of intermediate node by example of the VC subsystem
  5.3. Reliability Assessment of CTCS-3 Train Control System
 6. Conclusion
 Acknowledgements
 References

키워드

CTCS-3 Train Control System Fault Tree Bayesian Networks Common Cause Failure Multi-state Reliability Evaluation

저자

  • Hongsheng Su [ School of Automation and Electrical Engineering, Lanzhou Jiaotong University ]
  • Yulong Che [ School of Automation and Electrical Engineering, Lanzhou Jiaotong University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Control and Automation
  • 간기
    월간
  • pISSN
    2005-4297
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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