研制开发的基于多功能车辆总线的机车轴承故障诊断系统是通过监测温度和振动信号来对机车走行部轴承进行早期诊断和预警,把组合预测模型引入机车轴承故障预警,使用灰色模型和时间序列模型预测故障增长性趋势和波动性趋势,再将预警值加以综合。给出了诊断系统的硬件结构、软件功能与特点。试验表明所开发的系统有很强的鲁棒性,能有效监测机车轴承故障。 The locomotive bearing fault diagnosis system developed based on multi-function vehicle bus is to early diagnose and pre-warning the locomotive bearing by monitoring temperature and vibration signals. The combined forecasting model is introduced into locomotive bearing fault warning. The gray model and time series model Predict the growth trend of the fault and the trend of volatility, and then integrate the warning value. The hardware structure, software functions and features of the diagnosis system are given. Experiments show that the developed system has strong robustness and can effectively monitor locomotive bearing faults.