铁道标准设计Issue(9)：56-63,8.DOI:10.13238/j.issn.1004-2954.2015.09.014
铁路轨道不平顺预测模型研究与应用
Research and Application of Track Irregularity Prediction Model
摘要
Abstract
It is significant to improve the maintenance efficiency and reduce the economic costs on the promise of the safety of train operation. For this reason, a scientific and rational analysis is conducted by using the track quality index of the synthesis of track measuring car, a prediction method is established with the non-equal interval weighted grey model based on data selection vector and neural network theory to predict actual track irregularities. The relative errors are 2. 63%, 2. 516% and 2. 025%. The prediction model is applied in the arrangement of annual Optimization Track Synthetic Maintenance Plan with decision-making variables of maintenance time and maintenance location and the minimum annual average of the track quality index as the target function. With reference to a series of constraint functions, a aided decision model is established to acquire the optimum solution through genetic algorithms. Experimental results show that this method has improved prediction accuracy and is practical to work out annual railway maintenance plan quickly.关键词
铁路轨道/轨道不平顺/TQI值/灰色模型/神经网络/遗传算法/最优解Key words
Railway track/Track irregularity/Track quality index/Grey model/Neural network/Genetic algorithms/Optimum solution分类
交通工程引用本文复制引用
张念,朱焱,王小敏,郭进..铁路轨道不平顺预测模型研究与应用[J].铁道标准设计,2015,(9):56-63,8.基金项目
中国铁路总公司科技研究开发计划课题(2013X012-A-1,2013X012-A-2) （2013X012-A-1,2013X012-A-2）
