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.
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。
Related process parameter, condition and characteristic of pretreatment of steel board in container production are introduced.
介绍了在集装箱生产中钢板预处理的有关工艺参数、条件和特性。
The results indicate that the method is feasible so that we can use its characteristic parameter to evaluate the condition of bolting systems in practical works.
结果表明，基于柱状多层介质模型的理论用于锚杆锚固质量检测是可行的，实际工作中可以利用其特征参数对锚杆锚固质量进行评价。
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