Support vector machine-based optimisation of traction gear modifications for multiple-condition electric multiple unit

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Zhaoping Tang, Menghui Lu, Song Tu, Jianping Sun, Li Yan
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引用次数: 0

Abstract

The traction gear train is subjected to various internal excitations under different traction conditions, such as stiffness excitation, error excitation, meshing shock excitation, and tooth side clearance. The optimal modification scheme is different for each state, and the optimal modification plan based on a single working condition may not be applicable to every working condition. In this paper, we investigate the vibration response characteristics of electric multiple unit gearing under multiple conditions and propose a multi-condition modification scheme. Under different traction conditions, the mapping between gear modification parameters and vibration acceleration in gear transmissions is investigated using support vector machines. Genetic algorithms are used to solve the gear-modifying parameters to minimise the maximum vibration acceleration. A weight assignment principle is proposed to calculate the electric multiple unit traction gear transmission under different conditions, with the operating time and the amount of vibration in each condition as the measurement index. The results of the simulation show that the vibration acceleration under continuous conditions is reduced by 3.55 m/s2, a decrease of 69.88%; the vibration acceleration under high-speed conditions is reduced by 3.301 m/s2, a reduction of 58.74%, and the results show that the overall index of the electric multiple unit traction gear transmission system under different conditions has been improved after the optimisation of the multi-conditions modification, the gear transmission system's vibration is significantly reduced.
基于支持向量机的多工况电动多联机组牵引齿轮箱改造优化方案
在不同的牵引条件下,牵引齿轮系会受到各种内部激励,如刚度激励、误差激励、啮合冲击激励和齿侧间隙等。每种状态下的最优修正方案都不同,基于单一工况的最优修正方案不一定适用于每种工况。本文研究了多工况下电动多联齿轮箱的振动响应特性,并提出了多工况修正方案。在不同的牵引条件下,使用支持向量机研究了齿轮变速器中齿轮修改参数与振动加速度之间的映射关系。利用遗传算法求解齿轮修改参数,以最小化最大振动加速度。提出了权重分配原则,以运行时间和各工况下的振动量为测量指标,计算不同工况下的电动多单元牵引齿轮传动装置。仿真结果表明,连续工况下的振动加速度降低了 3.55 m/s2,降低了 69.88%;高速工况下的振动加速度降低了 3.301 m/s2,降低了 58.74%,结果表明,多工况优化改造后,不同工况下的电动多单元牵引齿轮传动系统的整体指标得到了提高,齿轮传动系统的振动明显降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
11.10%
发文量
38
审稿时长
>12 weeks
期刊介绍: The Journal of Multi-body Dynamics is a multi-disciplinary forum covering all aspects of mechanical design and dynamic analysis of multi-body systems. It is essential reading for academic and industrial research and development departments active in the mechanical design, monitoring and dynamic analysis of multi-body systems.
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