tachometer vibration sensor

Research on the amplitude frequency characteristics compensation based on wavelet neural network for vibration velocity transducer;

基于小波神经网络的振动速度传感器幅频特性补偿研究

The method of amplitude frequency characteristics improvement is presented to realize ultra-low frequency vibration measurement based on functional link artificial neural network(FLANN) for magnet-electrical vibration velocity transducer.

为了降低磁电式振动速度传感器的下限测量频率,以实现超低频振动速度测量,提出改进其幅频特性的函数连接型人工神经网络(FLANN)方法。