Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)

The analysis and diagnosis of machine tool spindle's fault based on the vibration test

Authors
Huamei Bian, Zhaokun Li
Corresponding Author
Huamei Bian
Available Online December 2016.
DOI
https://doi.org/10.2991/icseee-16.2016.151How to use a DOI?
Keywords
CNC milling machine;Experimental analysis;Spindle system
Abstract

In order to accurately diagnose the fault type and location of CNC machine tool spindle, aimed at XKA714 CNC milling spindle's vibration characteristics, the article Uses the test analysis methods, Analyzed the Frequency characteristics of spindle system, and Achieved the vibration signal and vibration source of the spindle system, The Conclusion provide the basis for Machine maintenance.

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 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-278-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/icseee-16.2016.151How 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  - Huamei Bian
AU  - Zhaokun Li
PY  - 2016/12
DA  - 2016/12
TI  - The analysis and diagnosis of machine tool spindle's fault based on the vibration test
BT  - Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
PB  - Atlantis Press
SP  - 843
EP  - 847
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-16.2016.151
DO  - https://doi.org/10.2991/icseee-16.2016.151
ID  - Bian2016/12
ER  -