轮式装载机的振动影响其可靠性、舒适性和工作效率。
Vibration of the wheel loader influences its reliability, riding comfort and work efficiency.
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.
在分析装载机作业路面谱的基础上，提出了采用动力减振器来降低装载机振动的新方法。
On the basis of analyzing a loader 's operation road-surface spectrum, a new method utilizing powered damper to lower down a loader' s shocking is offered.
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