摘要
为了提高养护机械电气系统的性能和可靠性,提出一种基于多传感器信息融合的养护机械电气故障诊断方法,采用多传感器信息融合技术对养护机械电气控制系统进行故障采集和诊断。以综合养护车滚筒热风加热系统为研究对象,将神经网络与专家系统相结合,对其电控系统进行分析,验证了该诊断方法的可靠性,而且实现了养护机械电气控制系统的状态报警和故障诊断。
In order to improve the performance and reliability of the electrical system of maintenance machinery, a diagnosis method for maintenance machinery was proposed, which applies the multi-sensor information fusion technology to conduct the failure acquisition and diagnosis of the electrical control system. The research on the hot air heating system of the drum was carried out, and the neural network and the expert system were combined to analyze the electronic control system. The reliability of the diagnostic method is verified, and the status alarm and fault diagnosis of the electrical control system of maintenance machinery can be realized.
出处
《筑路机械与施工机械化》
北大核心
2017年第7期97-100,共4页
Road Machinery & Construction Mechanization
关键词
传感器
养护机械
神经网络
故障诊断
sensor
maintenance machinery
neural network
failure diagnosis
