利用人工神经网络理论，通过对设备振动信号采集、处理和提取特征参数的方法，对装载机机械系统工作状态进行智能监测与故障诊断。
This paper involves ANN based intelligent condition monitoring and diagnosing of loaders, focusing on signal collecting and processing as well as characteristic parameter picking up.
振动信号的趋势预测是设备状态监测与故障诊断中的一个重要内容。
The trend forecasting of vibration signals is an important content of condition monitoring and fault diagnosis.
运用设备振动监测及诊断技术，达到高炉鼓风机运行状态最佳化。
By using equipment vibration testing and diagnostics technique, the blast furnace fan work under the better status.
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