|
|
|
| Prediction research of the aging life of hydraulic support seal ring based on evolutionary neural network |
| Sun Pengfei1, Yin Hong1, Yang Xu1, Dong Lijun1, Zhang Panpan2 |
1. Shanxi Lu’an Group Wenzhuang Mining Industry Corporation Ltd., Changzhi 046300, China;
2. Shanxi Energy Institute, Taiyuan 030600, China |
|
|
|
|
Abstract Sealing ring is one of the key parts of hydraulic support, and its stability directly affects the safety of hydraulic support. The aging life of hydraulic support seal ring is an important performance parameter to evaluate the sealing property of hydraulic support. In this paper, by means of evolutionary neural network algorithm, the aging life test data of hydraulic support ring was studied, the aging life prediction model of hydraulic support ring was established, and the accuracy of the model was tested by testing samples, which proved that the established model had a good prediction ability.
|
|
|
|
|
|
| [ 1 ] 王 刚. 液压支架蕾形复合密封圈接触应力研究[ D ]. 北京：中国矿业大学（ 北京 ），2018.
[ 2 ] 张 晞，王 刚，何 明，等. 液压支架蕾形复合密封圈材料特性实验和有限元分析[ J ]. 矿业科学学报，2016（ 1 ）：58 - 66.
[ 3 ] 成 勇，张 欣，刘 宇，等. GIS设备气密封O型圈老化及其使用寿命的试验研究[ J ]. 高压电器，2016，52（ 11 ）：88 - 94，101
[ 4 ] 刘 炜，沙卫晓，李长青，等. 基于加速老化试验的某型战车橡胶密封圈寿命预测[ J ]. 质量与可靠性，2016（ 1 ）：4 - 7.
[ 5 ] 迪力夏提·艾海提. Y型气动密封圈的可靠性建模与实验研究[ D ]. 北京：清华大学，2015.
[ 6 ] 何明慧. 基于进化算法的神经网络研究与优化[ D ]. 安徽：安徽大学，2018. |
|
|
|
