Reliability Optimum Design for Bevel Gear Driven Systems Based on Genetics Algorithm

DOI

10.2991/aiea-16.2016.66How to use a DOI?

Keywords

Bevel gear driven systems; reliability optimum design; random parameters; genetics algorithm.

Abstract

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.

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/).

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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  -