Earticle

초록

영어

The health state assessment and remaining life prediction of Train Control Center (TCC) is an important premise to carry out state repair of equipment, which can effectively protect the safe operation of the system. The paper aims to assess the health state of the equipment by adopting the health index model of TCC based on fuzzy comprehensive evaluation. As to various uncertain factors the TCC has such as the operating environment, the quality of the equipment and maintenance, the life prediction model of TCC is established based on the evaluative result, namely health index HI. Further variation that the equipment health index changes with time is established to realize the life prediction of TCC. The example shows that the life of TCC can be predicted effectively by means of the health state assessment for the equipment. The railway department can obtain the corresponding data, which can provide the basis of the maintenance and update for the equipment.

목차

Abstract
 1. Introduction
 2. Health Index Model of TCC
 3. Remaining Life Prediction Model of TCC
  3.1. Introduction of Random Fuzzy Theory
  3.2. Life Characteristic Curve of TCC
  3.3. Determination of Random Fuzzy Distributive Function for Health Index
  3.4. Establishment of Life Prediction Model based on Random Fuzzy Theory
  3.5. Solution of Life Prediction Model
 4. Case Verification and Result Analysis
 5. Conclusion
 References

키워드

저자

• Xiao Chun Wu [ School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China ]
• Jian Wu [ School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, 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