Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Reliability Research of Concrete Pump Main Oil Hydraulic System Based on T-S Fuzzy Fault Tree

Authors
Qing Zhao, Lijun Li, Hongbin Tang
Corresponding Author
Qing Zhao
Available Online July 2016.
DOI
10.2991/iccia-17.2017.167How to use a DOI?
Keywords
T-S fuzzy fault tree Hydraulic system Fault diagnosis Reliability analysis
Abstract

For improving the reliability of Concrete pump, fault diagnosis is proposed based on the main oil hydraulic pumping system T-S fuzzy fault tree method. The proposed method used fuzzy numbers to describe the probability of failure of hydraulic components and systems to address the failure probability of uncertainty; described by T-S fuzzy door contact between events, to solve the ambiguity and failure mechanisms associated events; fuzzy numbers description of the problem severity, considering the effect of the degree of fault on the system. The method is applied to the fault diagnosis of pumping concrete main oil pump hydraulic system, and achieved good results.

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 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.167How 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  - Qing Zhao
AU  - Lijun Li
AU  - Hongbin Tang
PY  - 2016/07
DA  - 2016/07
TI  - Reliability Research of Concrete Pump Main Oil Hydraulic System Based on T-S Fuzzy Fault Tree
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 950
EP  - 955
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.167
DO  - 10.2991/iccia-17.2017.167
ID  - Zhao2016/07
ER  -