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

Computer Numerical Control Machine Tool Scram Controls Principle Analysis and Fault Diagnosis

Authors
Lijuan Shi, Jinying Chen, Zhaokun Li, Huamei Bian
Corresponding Author
Lijuan Shi
Available Online December 2016.
DOI
10.2991/icseee-16.2016.79How to use a DOI?
Keywords
FANUC 0I-MC NC System, Emergency stop control circuit, Emergency stop fault, Emergency stop fault diagnosis process
Abstract

In the control of CNC machine tools, the emergency stop control is essential, and it plays an important role in the operation of the whole CNC machine tool. By analyzing the scram control principle of FANUC 0I-MC CNC system, this thesis is designed to put forward the diagnosis method of emergency stop hardware signal fault and to provide reference for fault diagnosis of CNC machine tools by taking the actual fault analysis and treating process into consideration.

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
10.2991/icseee-16.2016.79
ISSN
2352-5401
DOI
10.2991/icseee-16.2016.79How 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  - Lijuan Shi
AU  - Jinying Chen
AU  - Zhaokun Li
AU  - Huamei Bian
PY  - 2016/12
DA  - 2016/12
TI  - Computer Numerical Control Machine Tool Scram Controls Principle Analysis and Fault Diagnosis
BT  - Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
PB  - Atlantis Press
SP  - 431
EP  - 435
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-16.2016.79
DO  - 10.2991/icseee-16.2016.79
ID  - Shi2016/12
ER  -