首页|基于机器学习的高铁齿轮箱智能运维应用现状与发展趋势

基于机器学习的高铁齿轮箱智能运维应用现状与发展趋势

扫码查看
高铁齿轮箱作为重要的传动部件,其性能和可靠性对整个车辆的安全运行至关重要.近年来,机器学习算法有效解决了传统智能运维方法存在的问题,基于机器学习的智能运维技术在高铁齿轮箱的故障诊断、预测性维护及维护决策优化等领域取得了显著进展.因此,系统梳理了传统机器学习、深度学习以及迁移学习在高铁齿轮箱智能运维领域的研究现状,深入探讨了高铁齿轮箱实现智能运维的主要挑战及基于机器学习的高铁齿轮箱智能运维的发展趋势,旨在为高铁运维领域的研究人员和实践者提供有益的参考与指导.
Review of research and application statusof intelligent operation and maintenance of high-speed rail gearboxes based on machine learning
As an important transmission component,the performance and reliability of high-speed rail gearboxes are crucial to the safe operation of the entire vehicle.In recent years,machine learning algorithms have effectively addressed the issues present in traditional intelligent operation and maintenance methods.Machine learning-based intelligent operation and maintenance technology had made significant progress in fault diagnosis,predictive maintenance,and maintenance decision optimization for high-speed rail gearboxes.So the research status of traditional machine learning,deep learning and transfer learning in the field of intelligent operation and maintenance of high-speed rail gearboxes was systematically sorted out,and the main challenges in realising intelligent operation and maintenance of high-speed rail gearboxes and the development trend of intelligent operation and maintenance of high-speed rail gearboxes based on machine learning are discussed in depth.The aim of this review was to provide useful references and guidance for researchers and practitioners in the field of high-speed rail maintenance.

high-speed rail gearboxmachine learningintelligent operation and maintenance

吕梦熙、石明宽、朱忠奎

展开 >

中车戚墅堰机车车辆工艺研究所股份有限公司,江苏 常州 213011

苏州大学 轨道交通学院,江苏 苏州 215131

高铁齿轮箱 机器学习 智能运维

2024

农业装备与车辆工程
山东省农业机械科学研究所 山东农机学会

农业装备与车辆工程

影响因子:0.279
ISSN:1673-3142
年,卷(期):2024.62(10)