RAMS Analysis of Train Air Braking System Based on GO-Bayes Method and Big Data Platform

المؤلفون المشاركون

Cai, Guoqiang
Wang, Yaofei
Song, Qiong
Yang, Chen

المصدر

Complexity

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-14، 14ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-10-14

دولة النشر

مصر

عدد الصفحات

14

التخصصات الرئيسية

الفلسفة

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1134810