Research on fuzzy reliability prediction method of CNC machine tools

DOI

10.2991/peee-15.2015.17How to use a DOI?

Keywords

CNC machine tools, Reliability prediction, Vague set, GO methodology.

Abstract

Traditionally the reliability data is very insufficient in the early designing stage of CNC machine tools and the factors that affect reliability prediction are complicated and fuzzy. So, in this paper, a fuzzy comprehensive evaluation model based on vague set algorithm (VSA) is proposed for reliability prediction. Firstly, the GO methodology is used to establish the system reliability model of CNC machine tools. Secondly, the reliability prediction model is built based on vague set. Finally, an example of rotary table in machining center is taken to prove the availability of the model. Considering the four chief influence factors (design, test, manufacture and maintenance), the VSA model is adopted to make quantitative analysis and prediction, by which the feasibility and applicability of the proposed method are verified, and simultaneously the references are provided for the reliability design of next stage.

Copyright

© 2015, 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  - G.B. Zhang
AU  - D.M. Luo
AU  - Y. Ran
AU  - W. Yu
PY  - 2015/04
DA  - 2015/04
TI  - Research on fuzzy reliability prediction method of CNC machine tools
BT  - Proceedings of the 2015 International Conference on Power Electronics and Energy Engineering
PB  - Atlantis Press
SP  - 65
EP  - 68
SN  - 2352-5401
UR  - https://doi.org/10.2991/peee-15.2015.17
DO  - 10.2991/peee-15.2015.17
ID  - Zhang2015/04
ER  -