Reliability Optimum Design for Bevel Gear Driven Systems Based on Genetics Algorithm
Chang Li, Mingyong Hu, Xing Han
Available Online November 2016.
- 10.2991/aiea-16.2016.66How to use a DOI?
- Bevel gear driven systems; reliability optimum design; random parameters; genetics algorithm.
Genetics algorithm is a global group search optimum calculation method based on the natural selections and the genetic variations. Mechanic reliability design makes sure that the reliability indexes can be realized. However, it cannot guarantee that the products have the best working performances and the optimum design parameters. In this paper, genetics algorithm is introduced into the reliability optimum design for bevel gear driven systems, and then the optimum design parameters of driven systems are obtained under the allowable reliability degree. This method can quantificational make optimum analysis for bevel gear driven systems, and is very useful for the engineering application.
- © 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 - Chang Li AU - Mingyong Hu AU - Xing Han PY - 2016/11 DA - 2016/11 TI - Reliability Optimum Design for Bevel Gear Driven Systems Based on Genetics Algorithm BT - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications PB - Atlantis Press SP - 369 EP - 374 SN - 2352-538X UR - https://doi.org/10.2991/aiea-16.2016.66 DO - 10.2991/aiea-16.2016.66 ID - Li2016/11 ER -