中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Pantograph-Catenary Interaction Prediction Model Based on SCSA-RBF Network

文献类型:期刊论文

作者Wu, Mengzhen; Xu XH(许向红); Zhang HC(张颢辰); Zhou R(周睿); Wang, Jianshan
刊名APPLIED SCIENCES-BASEL
出版日期2024
卷号14期号:1页码:11
关键词pantograph-catenary interaction prediction model pantograph-catenary contact force SCSA-RBF network
DOI10.3390/app14010449
通讯作者Xu, Xianghong(xxh@lnm.imech.ac.cn) ; Wang, Jianshan(wangjs@tju.edu.cn)
英文摘要As a traditional numerical simulation method for pantograph-catenary interaction research, the pantograph-catenary finite element model cannot be applied to the real-time monitoring of pantograph-catenary contact force, and the computational cost required for the multi-parameter joint optimization of the pantograph-catenary system with the finite element model is very high. In this paper, based on the selective crow search algorithm-radial basis function (SCSA-RBF) network, the time-domain signal of the panhead acceleration, which can be obtained in real-time through non-contact test technology, is taken as the boundary condition to directly solve the pantograph dynamic equation and a data-physics coupling model that can quickly predict the pantograph-catenary interaction is proposed. The prediction model is trained and verified using the dataset generated through the finite element model. Furthermore, the prediction model is applied to the multi-parameter joint optimization of six pantograph dynamic parameters and nine pantograph dynamic parameters, considering nonlinear panhead stiffness, and optimization suggestions under various speeds and filtering frequencies are given.
分类号二类
WOS关键词SYSTEM ; STIFFNESS
资助项目Major Project of China Railway Co., Ltd.
WOS研究方向Chemistry ; Engineering ; Materials Science ; Physics
语种英语
WOS记录号WOS:001139018100001
资助机构Major Project of China Railway Co., Ltd.
其他责任者Xu, Xianghong ; Wang, Jianshan
源URL[http://dspace.imech.ac.cn/handle/311007/94085]  
专题力学研究所_非线性力学国家重点实验室
推荐引用方式
GB/T 7714
Wu, Mengzhen,Xu XH,Zhang HC,et al. Pantograph-Catenary Interaction Prediction Model Based on SCSA-RBF Network[J]. APPLIED SCIENCES-BASEL,2024,14(1):11.
APA Wu, Mengzhen,许向红,张颢辰,周睿,&Wang, Jianshan.(2024).Pantograph-Catenary Interaction Prediction Model Based on SCSA-RBF Network.APPLIED SCIENCES-BASEL,14(1),11.
MLA Wu, Mengzhen,et al."Pantograph-Catenary Interaction Prediction Model Based on SCSA-RBF Network".APPLIED SCIENCES-BASEL 14.1(2024):11.

入库方式: OAI收割

来源:力学研究所

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