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A New Method of Correcting Frequency Response Error for a Digital High Frequency Voltmeter

机译:一种校正数字高频电压表频率响应误差的新方法

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The frequency response error of a digital high-frequency voltmeter with a silicon diode peak detector roots in high-frequency resonance error that is mostly produced by the components distributing parameters within the probe. Take the HF voltmeter frequency response measurement with a high-frequency mid-voltage standard apparatus; the global fitting of the resonance frequency versus the signal frequency was carried out with two-layered BP artificial neural network. Using the relationship between the signal peak-voltage, the resonance frequency, and the output DC voltage of the probe, the corrected HF voltage value was worked out. The testing results showed that the frequency response error was reduced from about 40% to 5% with the predicting resonance frequency by the trained BP network.
机译:具有硅二极管峰值检测器根部的数字高频电压表的频率响应误差在高频谐振误差中,主要由分布在探头内的参数产生。采用高频中压标准装置的HF电压计频率响应测量;共振频率与信号频率的全局拟合用双层BP人工神经网络进行。使用信号峰值电压,谐振频率与探针的输出直流电压之间的关系,制定校正的HF电压值。测试结果表明,通过训练的BP网络预测谐振频率,频率响应误差从约40%降低到5%。

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