Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

Application and Research in the Drill Reliability Design Based on Fuzzy Theory

Authors
Dong Li
Corresponding Author
Dong Li
Available Online March 2017.
DOI
10.2991/msam-17.2017.40How to use a DOI?
Keywords
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Abstract

In order to improve the reliability of the coal mine tunnel drilling rig in the absence relevant data at the primary design stage, the reliability fuzzy prediction model and the fuzzy comprehensive evaluation process was established based on the fuzzy theory in this paper. The reliability of hydraulic chuck was predicted by the reliability index of some key slips, further the whole drill reliability index was analyzed, it provided a new way for tunnel drill design. The experimental results showed that the theory of fuzzy reliability prediction could improve drill reliability and provide theoretical basis and technical support for design.

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 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
978-94-6252-324-1
ISSN
1951-6851
DOI
10.2991/msam-17.2017.40How 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  - Dong Li
PY  - 2017/03
DA  - 2017/03
TI  - Application and Research in the Drill Reliability Design Based on Fuzzy Theory
BT  - Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
PB  - Atlantis Press
SP  - 177
EP  - 179
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-17.2017.40
DO  - 10.2991/msam-17.2017.40
ID  - Li2017/03
ER  -