Research and application of neural network for tread wear prediction and optimization-Reference-Cited by-同舟云学术

Research and application of neural network for tread wear prediction and optimization

Published:2022-01 Issue: Volume:162 Page:108070
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Wang Meiqi,Jia Sixian,Chen Enli,Yang Shaopu,Liu Pengfei,Qi Zhuang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference48 articles.

1. Historical study on designing Japanese rail profiles;Sato;Wear,2005

2. 2016G008-A-Wheel Rail Profile Matching Optimization and Adaptability Research;Luo,2016

3. Railway applications - Track - Rail - Part 1: Vignole railway rails 46 kg/m and above, in: European Committee for Standardization, 2011.

4. Optimal design of wheel profile for railway vehicles;Shevtsov;Wear,2005

5. Numerical simulation model for the competition between short crack propagation and wear in the wheel tread;Akama;Wear,2020

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigation of derailment and wheel wear in a BEML metro coach under different operating conditions;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-09-09

2. Research on Inverse Kinematics of Redundant Robotic Arms Based on Flexibility Index;IEEE Robotics and Automation Letters;2024-08

3. Short-term traffic flow prediction based on hybrid decomposition optimization and deep extreme learning machine;Physica A: Statistical Mechanics and its Applications;2024-08

4. A Parameter-Driven Methodology of Wheel Flat Modeling for Wheel–Rail Impact Dynamics;Applied Sciences;2024-07-08

5. AI for tribology: Present and future;Friction;2024-03-12