摘要
基于大数据理念,通过构建神经网络与专家系统相结合的维护诊断系统,将CBTC车载信号海量数据进行分析处理,从而提高运营维护质量、缩短故障维修响应时间。
Based on the concept of big data, mass data of CBTC onboard signals can be analyzed andprocessed through building a maintenance diagnostic system that integrates the neural network and expertssystem, to improve the quality of operation maintenance and shorten the response time of fault repairs.
出处
《铁路通信信号工程技术》
2016年第2期64-66,79,共4页
Railway Signalling & Communication Engineering
关键词
CBTC
大数据
智能维护
神经网络
CBTC
big data
intelligent maintenance
neural network
