Reliability Prediction for CNC Machine of Spindle System
- 10.2991/ismems-16.2016.62How to use a DOI?
- CNC machine, Spindle system, Grey theory, Reliability prediction
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
- © 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 - 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 -