Failure Effects Evaluation for ATC Automation System

Joint Authors

Li, Rui
Zhou, Zili
Cheng, Yansong
Wang, Jianqiang

Source

Applied Computational Intelligence and Soft Computing

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-05-02

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Information Technology and Computer Science

Abstract EN

ATC (air traffic control) automation system is a complex system, which helps maintain the air traffic order, guarantee the flight interval, and prevent aircraft collision.

It is essential to ensure the safety of air traffic.

Failure effects evaluation is an important part of ATC automation system reliability engineering.

The failure effects evaluation of ATC automation system is aimed at the effects of modules or components which affect the performance and functionality of the system.

By analyzing and evaluating the failure modes and their causes and effects, some reasonable improvement measures and preventive maintenance plans can be established.

In this paper, the failure effects evaluation framework considering performance and functionality of the system is established on the basis of reliability theory.

Some algorithms for the quantitative evaluation of failure effects on performance of ATC automation system are proposed.

According to the algorithms, the quantitative evaluation of reliability, availability, maintainability, and other assessment indicators can be calculated.

American Psychological Association (APA)

Li, Rui& Zhou, Zili& Cheng, Yansong& Wang, Jianqiang. 2017. Failure Effects Evaluation for ATC Automation System. Applied Computational Intelligence and Soft Computing،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1121466

Modern Language Association (MLA)

Li, Rui…[et al.]. Failure Effects Evaluation for ATC Automation System. Applied Computational Intelligence and Soft Computing No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1121466

American Medical Association (AMA)

Li, Rui& Zhou, Zili& Cheng, Yansong& Wang, Jianqiang. Failure Effects Evaluation for ATC Automation System. Applied Computational Intelligence and Soft Computing. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1121466

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1121466