摘要
为了提高货运的可靠性和可维护性,印度铁路公司利用了人工智能和机器学习领域的最新技术,在货运列车上使用了多种状态监测装置,获得了巨大数据。通过对这些数据的处理,可以提高预测故障易发区域的能力,并可提高零部件的质量和适用性。
In order to improve the reliability and maintainability of freight transportation,Indian Railway Corporation uses the latest technologies in the field of artificial intelligence and machine learning,and installs a variety of state monitoring devices on freight trains,obtaining huge data.Through the processing of these data,the ability to predict fault-prone areas as well as the quality and applicability of parts can be improved.
出处
《智慧轨道交通》
2022年第1期72-74,共3页
SMART RAIL TRANSIT
关键词
货车
大数据
状态监测
维修
印度
freight car
big data
status monitoring
maintenance
India