Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

Research on Expert System for Hydraulic Support in Fully Mechanized Mining Based on FTA

Authors
Xiu-cai GUO, Ren-jun Wang
Corresponding Author
Xiu-cai GUO
Available Online December 2016.
DOI
https://doi.org/10.2991/cnct-16.2017.91How to use a DOI?
Keywords
Coal Mine, Hydraulic Support, Fault Tree, Fault Diagnosis, Expert System.
Abstract

According to the problem that the fault of the hydraulic support was difficult and the recognition rate was low, the fault diagnosis method was put forward based on the FTA fully mechanized coal mining hydraulic support. This method was integrated with fault tree diagnosis technology and expert system. The failure types and causes of the hydraulic support are researched in detail, and the fault tree model is created with the column as an example. The visual interface of the system is friendly based on VisTwo software platform, so that the system is simple, accurate and accurate. It is of great significance to the safety production of coal mine.

Copyright
© 2017, 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 International Conference on Computer Networks and Communication Technology (CNCT 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-301-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/cnct-16.2017.91How to use a DOI?
Copyright
© 2017, 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  - Xiu-cai GUO
AU  - Ren-jun Wang
PY  - 2016/12
DA  - 2016/12
TI  - Research on Expert System for Hydraulic Support in Fully Mechanized Mining Based on FTA
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 659
EP  - 664
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.91
DO  - https://doi.org/10.2991/cnct-16.2017.91
ID  - GUO2016/12
ER  -