Earticle

초록

영어

At present, high-speed railway is faster and faster, which puts forward higher safety requirements for high-speed railway, and the on-board equipment for CTCS-3 train control system is vital. Therefore, it is necessary to carry out real-time monitoring of the various parts of the on-board equipment in order to find the fault, isolate the fault and eliminate the fault and improve the safety of high-speed train. this paper presents the on-board equipment Prognostics and health management (PHM) research, the use of intelligent diagnosis algorithm and prediction techniques, according to the health assessment of residual life prediction and the on-board equipment for train control system state maintenance and condition based maintenance (CBM) provide a theoretical basis. Taking the GSM-R receiving station of the train control system as an example, it is concluded that the scoring standard and health index(HI)are more reliable for fault prediction and health management.

목차

Abstract
 1. Introduction
 2. System Structure of CTCS-3 On-Board Equipment PHM System
 3. Hierarchical Intelligent Reasoning Diagnosis of CTCS-3 On-board equipment PHM
  3.1. Hierarchical Intelligent Reasoning
  3.2. Intelligent Fault Diagnosis Algorithm
 4. PHM Fault Prediction Technology of CTCS-3 On-Board Equipment
  4.1. Fault Prediction of Remaining Life of On-Board Equipment Based on Train Control
  4.2. Fault Prediction Technology Based on Data
 5. CTCS-3 on-Board Equipment Health State Evaluation Grade
 6. Conclusion
 Reference

키워드

저자

• Xuejie Jiang [ College of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, china ]
• Guoning Li [ College of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, china ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605