Optimisation of current collection quality of high-speed pantograph-catenary system using the combination of artificial neural network and genetic algorithm-Reference-Cited by-同舟云学术

Optimisation of current collection quality of high-speed pantograph-catenary system using the combination of artificial neural network and genetic algorithm

Published:2022-03-01 Issue:1 Volume:61 Page:260-285
ISSN:0042-3114
Container-title:Vehicle System Dynamics
language:en
Short-container-title:Vehicle System Dynamics

Author:

Su Kaixin¹,Zhang Jiawei²,Zhang Jiwang¹,Yan Tao³,Mei Guiming¹

Affiliation:

1. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, People’s Republic of China

2. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of China

3. Bj-baodeli Electrical Equipment Co., Ltd., Baoji, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Safety, Risk, Reliability and Quality,Automotive Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00423114.2022.2045029

Reference32 articles.

1. Analysis of dynamic interaction between catenary and pantograph with experimental verification and performance evaluation in new high-speed line

2. The use of dynamic response to evaluate and improve the optimization of existing soft railway catenary systems for higher speeds

3. EN 50367. (2012). Railway applications-current collection systems-technical criteria for the interaction between pantograph and overhead line. European Committee for Electrotechnical Standardization.

4. Influence of pantograph suspension characteristics on the contact quality with the catenary for high speed trains

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