RAMS Analysis of Train Air Braking System Based on GO-Bayes Method and Big Data Platform
Joint Authors
Cai, Guoqiang
Wang, Yaofei
Song, Qiong
Yang, Chen
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-14
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The RAMS (reliability, availability, maintainability, and security) of the air braking system is an important indicator to measure the safety performance of the system; it can reduce the life cycle cost (LCC) of the rail transit system.
Existing safety analysis methods are limited to the level of relatively simple factual descriptions and statistical induction, failing to provide a comprehensive safety evaluation on the basis of system structure and accumulated data.
In this paper, a new method of safety analysis is described for the failure mode of the air braking system, GO-Bayes.
This method combines the structural modeling of the GO method with the probabilistic reasoning of Bayes methods, introduces the probability into the analysis process of GO, performs reliability analysis of the air braking system, and builds a big data platform for the air braking system to guide the system maintenance strategy.
An automatic train air braking system is taken as an example to verify the usefulness and accuracy of the proposed method.
Using ExtendSim software shows the feasibility of the method and its advantages in comparison with fault tree analysis.
American Psychological Association (APA)
Cai, Guoqiang& Wang, Yaofei& Song, Qiong& Yang, Chen. 2018. RAMS Analysis of Train Air Braking System Based on GO-Bayes Method and Big Data Platform. Complexity،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1134810
Modern Language Association (MLA)
Cai, Guoqiang…[et al.]. RAMS Analysis of Train Air Braking System Based on GO-Bayes Method and Big Data Platform. Complexity No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1134810
American Medical Association (AMA)
Cai, Guoqiang& Wang, Yaofei& Song, Qiong& Yang, Chen. RAMS Analysis of Train Air Braking System Based on GO-Bayes Method and Big Data Platform. Complexity. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1134810
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134810