Maintenance Decision for the Key Parts of Machine Tool Using the Monitoring Information

DOI

10.2991/mcae-16.2016.18How to use a DOI?

Keywords

monitoring information; kurtosis value; weibull proportional hazards models; maintenance decision

Abstract

Considering the monitoring information of the operation process of the machine tools, a maintenance decision model is established in this paper. Firstly, the monitoring information of the key parts of the machine tools is obtained by using data acquisition system. Based on the kurtosis value which are extracted from the monitoring information, the weibull proportional hazard model (WPHM) are proposed. In the model, the weibull distribution is regarded as the failure rate function. Then, the maintenance decision model can be obtained based on WPHM. Finally, according to the failure threshold in the decision model, the maintenance decision can be conducted. The results show that this maintenance decision model can not only improve the availability of the key parts greatly, but also make full use of the effective life of machine tools.

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  - Shuang Zhou
AU  - Tao Zan
AU  - Min Wang
AU  - Congcong Guo
PY  - 2016/07
DA  - 2016/07
TI  - Maintenance Decision for the Key Parts of Machine Tool Using the Monitoring Information
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 70
EP  - 74
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.18
DO  - 10.2991/mcae-16.2016.18
ID  - Zhou2016/07
ER  -