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Random Error Characteristics and Evaluation Method of Optical Voltage Sensor

机译:光电压传感器随机误差特性及评价方法

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The random error characteristics of optical voltage sensors (OVS) directly affect the measurement accuracy. Sequence variance is a commonly used method to evaluate the characteristics of the OVS random error. However, sequence variance does not model the OVS noise itself and does not identify the noise coefficient in terms of OVS noise signature analysis. Based on sequence variance method, the improved sequential analysis of variance method is proposed to analyze the random error characteristics of OVS. After the OVS test data is processed by the improved sequential analysis of variance method, the least square fitting is performed, and the coefficients of each random error term are accurately solved. With the coefficients, the influencing factors are identified, and the corresponding error suppression measures are proposed. The experiments results demonstrate that the improved sequential analysis of variance method is different from the sequence variance method, the sequence variance method fluctuates and gradually increases when the correlation time is more than half of the total measurement duration, while the improved sequential analysis of variance method always remains relatively stable.
机译:光电压传感器(OVS)的随机误差特性直接影响测量精度。序列方差是一种常用的方法来评估OVS随机误差的特性。然而,序列方差不会模拟OVS噪声本身,并且不识别OVS噪声签名分析方面的噪声系数。基于序列方差方法,提出了方差方法的改进顺序分析,分析了OVS的随机误差特性。通过改进的方差方法的顺序分析处理OVS测试数据之后,执行最小二乘拟合,并且精确解决每个随机误差项的系数。利用系数,鉴定了影响因素,提出了相应的误差抑制措施。实验结果表明,随着序列方差方法的改善顺序分析与序列方差法不同,当相关时间超过总测量持续时间的一半时,序列方差方法波动并逐渐增加,而方差方法的顺序分析提高始终保持相对稳定。

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