基于GA-LSTM的轮轨力连续测量研究
Continuous Measurement of Wheel Rail Force Based on GA-LSTM
汪卫 1陈建政 1吴越1
作者信息
- 1. 西南交通大学 牵引动力国家重点实验室,四川 成都 610031
- 折叠
摘要
为降低连续测力轮对在横向力和垂向力解耦过程中产生的系统误差,基于神经网络的原理,提出一种基于GA-LSTM的轮轨力连续测量方法.研究表明:相比于GB/T5599-2019中的轮轨力测量方法,本轮轨力连续测量方法具有更高的精度和效率.将本轮轨力连续测量方法运用于国内某运营地铁线路的轮轨力信号实测,测试数据验证了其有效性.
Abstract
In order to reduce the systematic error in the decoupling process of lateral and vertical forces of continuous instrumented wheelsets,a continuous measurement method of wheel-rail forces based on GA-LSTM is proposed according to the principle of neural network.The study shows that compared with the method in the national standard GB/T 5599-2019,the proposed method has higher accuracy and efficiency,and the measured data of wheel-rail forces gained by the method in a domestic operating subway line verify its effectiveness.
关键词
测力轮对/神经网络/GA-LSTM/轮轨力测量Key words
instrumented wheelset/neural network/GA-LSTM/measurement of wheel rail force引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据