Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering

Reliability Assessment of Wind Power Growth Planetary Gear Train Based on Dynamics

Authors
Chunguang Wang, Shuai Yue
Corresponding Author
Chunguang Wang
Available Online October 2016.
DOI
https://doi.org/10.2991/mmme-16.2016.195How to use a DOI?
Keywords
Planetary gear train; Reliability assessment; Dynamics
Abstract

From the reliability point of view, the main failure modes of load-split wind power growth planetary gear train are determined by failure mode and effect analysis method. The engineering practice and typical stress and intensity distribution are considered, the probability distribution of random variables are described by the ap-proximate probabilistic method. The wind gear transmission system reliability model is built by the stress-strength interference theory, the failure correlation is analyzed.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-221-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/mmme-16.2016.195How 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  - Chunguang Wang
AU  - Shuai Yue
PY  - 2016/10
DA  - 2016/10
TI  - Reliability Assessment of Wind Power Growth Planetary Gear Train Based on Dynamics
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.195
DO  - https://doi.org/10.2991/mmme-16.2016.195
ID  - Wang2016/10
ER  -