Reliability Prediction for CNC Machine of Spindle System

DOI

10.2991/ismems-16.2016.62How to use a DOI?

Keywords

CNC machine, Spindle system, Grey theory, Reliability prediction

Abstract

Grey prediction of CNC machine spindle system failure is modeled with GM(1,1) grey prediction as data accumulation weaken randomness and strengthen regularity. The model result provides preventative maintenance of CNC machine spindle system with theoretical foundation. The example analysis shows that grey prediction model can exactly predict time of failure quickly. It is effective to be used in reliability prediction of CNC machine spindle system. The grey prediction model also can predict failure time of CNC machine and the other subsystem

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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TY  - CONF
AU  - Xiaocui Z
AU  - Fei C
AU  - Jili W
AU  - Zhaojun Y
AU  - Guofa L
AU  - Z Xinge
PY  - 2016/12
DA  - 2016/12
TI  - Reliability Prediction for CNC Machine of Spindle System
BT  - Proceedings of the International Symposium on Mechanical Engineering and Material Science
PB  - Atlantis Press
SP  - 365
EP  - 370
SN  - 2352-5401
UR  - https://doi.org/10.2991/ismems-16.2016.62
DO  - 10.2991/ismems-16.2016.62
ID  - Z2016/12
ER  -