Based on adaptive noise canceling principle, a realtime approach of detecting harmonic current by artificial neuron is proposed.
基于自适应噪声干扰对消原理，提出了用人工神经网络进行实时谐波检测的方法。
On the based of artificial neural network, the active power filter can work properly to cancel load's line harmonic current. Only few readily available parameters are used in the method.
通过预测负载网侧输入电流的基波成分，控制有源滤波器产生用以抵消非线性负载的谐波电流。
The central content of this thesis includes identifying and revising the critical rotate speed-dynamic parameters of rotor-bearing system by the artificial neural network theory and harmonic wavelet.
本论文的核心内容是：应用谐波小波和人工神经网络理论对转子轴承系统动力参数——临界转速进行识别与修正。
The central content of this thesis includes identifying and revising the critical rotate speed-dynamic parameters of rotor-bearing system by the artificial neural network theory and harmonic wavelet.
本论文的核心内容是：应用谐波小波和人工神经网络理论对转子轴承系统动力参数——临界转速进行识别与修正。
应用推荐