测试结果表明此套系统可以实现神经信号的采集和刺激。

The result of testing shows that the system can carry out collection and stimulating of neural signal.

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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.

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通过对安装在反应堆压力壳上的多个加速度传感器的信号进行采集，并经过信号预处理、时频变换、神经网络计算等过程，实现对核电站松动件碰撞位置的定位。

The loose part impact positions are located by analyzing signals from accelerometers mounted on the reactor vessel with signal pre processing, time frequency transforms, and neural networks.

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