[1]李永华,徐 越,赵福玉,等.基于 IPSO-SVR 的高速动车组电机吊架结构可靠性分析[J].机车电传动,2020,(03):104-109.[doi:10.13890/j.issn.1000-128x.2020.03.022]
 LI Yonghua,XU Yue,ZHAO Fuyu,et al.Structural Reliability Analysis Based on IPSO-SVR for High-speed EMU Motor Hanger[J].Electric Drive for Locomotives,2020,(03):104-109.[doi:10.13890/j.issn.1000-128x.2020.03.022]
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基于 IPSO-SVR 的高速动车组电机吊架结构可靠性分析()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2020年03期
页码:
104-109
栏目:
研究开发
出版日期:
2020-05-10

文章信息/Info

Title:
Structural Reliability Analysis Based on IPSO-SVR for High-speed EMU Motor Hanger
文章编号:
1000-128X(2020)03-0104-06
作者:
李永华 1徐 越 1赵福玉 2吴 岳 3
(1. 大连交通大学 机车车辆工程学院,辽宁 大连 116028;2. 南京地铁运营有限责任公司,江苏 南京 210012;3. 北京航天智造科技发展有限公司,北京 100039)
Author(s):
LI Yonghua1 XU Yue1 ZHAO Fuyu2 WU Yue3
( 1. College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, Liaoning 116028, China; 2. Nanjing Metro Operation Co., Ltd., Nanjing, Jiangsu 210012, China; 3. Beijing Aerospace Smart Manufacturing Technology Development Co., Ltd., Beijing 100039, China )
关键词:
高速动车组电机吊架改进粒子群算法支持向量回归可靠性分析有限元
Keywords:
high-speed EMU motor hanger improved particle swarm optimization support vector regression reliability analysis FE
分类号:
U266.2
DOI:
10.13890/j.issn.1000-128x.2020.03.022
文献标志码:
A
摘要:
针对高速动车组电机吊架的极限状态方程难以用精确的数学解析式表达和采用传统可靠度计算方法工作量大的问题,将改进粒子群优化的支持向量回归模型和可靠性理论相结合,对电机吊架进行可靠性分析。首先,通过对电机吊架进行灵敏度分析,筛选出对目标响应影响较大的随机变量,采用 Box-Behnken 设计方法得到样本数据;其次,对样本数据进行训练,建立基于改进粒子群优化支持向量回归的电机吊架代理模型;最后,结合蒙特卡洛抽样和“应力 - 强度干涉“理论,计算得到电机吊架的可靠度。结果表明,采用该方法求得的电机吊架可
Abstract:
Aiming at the problem that the limit state equation of high-speed EMU motor hanger is difficult to be expressed by precisemathematical analytic formula and the heavy workload of traditional reliability calculation method, the reliability analysis of motor hanger was carried out by combining improved particle swarm optimization support vector regression model with reliability theory. Firstly, through the sensitivity analysis of the motor hanger, the random variables that had a great influence on the target response were screenedout, and the Box-Behnken design method was used to obtain the sample data. Secondly, the sample data was trained, the agent model of motor hanger based on improved particle swarm optimization support vector regression was established. Finally, the reliability of motor hanger was calculated by combining Monte Carlo sampling and stress-strength interference theory. The results show that the reliability of the motor hanger obtained by this method has higher accuracy and improves the calculation efficiency

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备注/Memo

备注/Memo:
作者简介:李永华(1971—),女,博士,教授,主要研究方向为轨道车辆现代化设计方法、车辆结构的疲劳可靠性分析、机械产品数字仿真与优化设计、质量与RAMS 工程。
更新日期/Last Update: 2020-05-10