| 基于Elman神经网络的盾构滚刀磨损预测方法研究 |
| |
| 引用本文： | 李笑,苏小江.基于Elman神经网络的盾构滚刀磨损预测方法研究[J].辽宁工程技术大学学报(自然科学版),2010,29(6). |
| |
| 作者姓名： | 李笑 苏小江 |
| |
| 作者单位： | 1. 广东工业大学,机电工程学院,广东,广州,510006
2. 西安市地下铁道有限责任公司,陕西,西安,710018 |
| |
| 基金项目： | 广东省自然科学基金资助项目(32484) |
| |
| 摘 要： | 为了解决盾构在复合地质掘进时滚刀磨损检测的难题,提出一种采用Elman神经网络预测盾构滚刀磨损状况的方法。利用滚刀换刀后正常磨损阶段的盾构掘进参数数据,建立Elman神经网络预测模型,根据依此模型得到的预测掘进速度与实际掘进速度的偏差来预测滚刀的磨损状况。文中分析了滚刀磨损影响因素,确定了Elman神经网络预测模型结构,给出了滚刀磨损判断依据。结合广州地铁五号线草淘区间左线盾构工程项目研究表明,预测结果与实际换刀情况相符。该方法建模简单,模型有效且适应性强,研究结论可为类似地质条件下的盾构滚刀磨损检测和更换提供有益的指导。
|
| 关 键 词： | 盾构 滚刀 磨损 预测 神经网络 |
A new method for forecasting shield's disc-cutters wearing based on Elman neural network |
| |
| LI Xiao,SU Xiaojiang.A new method for forecasting shield's disc-cutters wearing based on Elman neural network[J].Journal of Liaoning Technical University (Natural Science Edition),2010,29(6). |
| |
| Authors: | LI Xiao SU Xiaojiang |
| |
| Institution: | LI Xiao1,SU Xiaojiang2(1.Faculty of Electromechanical Engineering,Guangdong University of Technology,Guangzhou 510006,China,2.Xian Metro Co.Ltd.,Xian 710018,China) |
| |
| Abstract: | To overcome the difficulty in estimating the wearing of shield's disc-cutters in composite geological ground conditions,a new method for forecasting the wearing of disc-cutters using Elman neural network model is proposed in this paper.The model is built using the shield excavation parameters data at the stage of normal wearing of newly replaced disc-cutters.The disc-cutters wearing is forecasted according to the difference between the predicted excavation speed from the model and the actual excavation spee... |
| |
| Keywords: | shield disc-cutters wearing forecast Elman neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
