Proceedings of the 4th International Conference on Information Systems and Computing Technology

Research on Reliability Distribution Technology of CNC Lathe HTC2050

Authors
Miaomiao Zhang, Yan Cao, Zhou Fang, Bei Chen
Corresponding Author
Miaomiao Zhang
Available Online December 2016.
DOI
https://doi.org/10.2991/isct-16.2016.20How to use a DOI?
Keywords
CNC lathe; Reliability distribution; Arlins distribution
Abstract

By studying the reliability distribution of CNC lathe, it is possible to solve the problem of poor reliability and short life of CNC lathe, which can also reveal the weak links, key elements and components in the system design. The mathematical model of NC lathe is established by using Arlins distribution method, and the importance degree of each subsystem in CNC lathe is analyzed quantitatively based on the reliability allocation criterion. The reliability of all subsystems in the mechanical system and the feasibility of the Arlins distribution method are verified by an example.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th International Conference on Information Systems and Computing Technology
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-276-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/isct-16.2016.20How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Miaomiao Zhang
AU  - Yan Cao
AU  - Zhou Fang
AU  - Bei Chen
PY  - 2016/12
DA  - 2016/12
TI  - Research on Reliability Distribution Technology of CNC Lathe HTC2050
BT  - Proceedings of the 4th International Conference on Information Systems and Computing Technology
PB  - Atlantis Press
SP  - 120
EP  - 124
SN  - 2352-538X
UR  - https://doi.org/10.2991/isct-16.2016.20
DO  - https://doi.org/10.2991/isct-16.2016.20
ID  - Zhang2016/12
ER  -