Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

The Reliability of Mechanical Equipment Based on Fuzzy Comprehensive Assessment

Authors
Guoqiang Cao, Feng Shi, Shuai Yang
Corresponding Author
Guoqiang Cao
Available Online August 2012.
DOI
10.2991/iccasm.2012.2How to use a DOI?
Keywords
Reliability,Optimal Design, Fuzzy Assessment, Fuzzy Factor
Abstract

The reliability indexes is the very important link for guaranteeing the precision, function, using life span for mechanical equipment. The paper introduces the fuzzy factor of fuzzy assessment for the reliability check and index in the light of the typical model of machinery equipment fuzzy appraise synthesis method. The appraising model and subordinate function and weigh proportion are built after analysis. The evidence is supplied with the reliability design for the new products through fuzzy appraising example. The result shows that the proposed evaluation model is reasonable and feasible which can objectively reflect the overall level of mechanical equipment reliability.

Copyright
© 2012, 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 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
978-94-91216-00-8
ISSN
1951-6851
DOI
10.2991/iccasm.2012.2How to use a DOI?
Copyright
© 2012, 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  - Guoqiang Cao
AU  - Feng Shi
AU  - Shuai Yang
PY  - 2012/08
DA  - 2012/08
TI  - The Reliability of Mechanical Equipment Based on Fuzzy Comprehensive Assessment
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 5
EP  - 7
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.2
DO  - 10.2991/iccasm.2012.2
ID  - Cao2012/08
ER  -