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Research on potential errors in measurement of shaft power based on phase difference method

机译:基于相位差法测量轴功率的潜在误差研究

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The method based on phase difference for shaft power measurement is used widely and supposed to be more accurate than traditional methods, like by strain gauge. Because the torque of shaft is calculated according to measure torsional angle between two coding wheels, there are some potential errors which probably have great influence to experiment result in practicle measurement. The sources of error are researched and analyzed in four aspects. The first one is from the quantification error in FPGA, which is caused by the counter's frequency. Lower counter frequency may leads to bigger error in logic algorithm for measurement of the width of pulse signal. The research in this problem is to find out a quantification frequency that is accurate enough but won't increase too much the amount of data. The second one is temperature drift in sensor. It is generated by the variation of environment temperature. The influence of temperature to sensor is universal in application. The error tolerance and treatment of temperature drift is discussed in the research work. The third and fourth error sources in measurement are decentered error and perpendicularity error. Both of them are the result of inexactitude installation of coding wheels on shaft. All the sources of error discussed may introduce a lot of uncertainty to the continuous torque and power monitoring. So the tolerances of the potential errors and the extent of improvement are discussed after the analysis of error sources. The research work will help the engineers to understand the processing of error generation and prevent unnecessary problems in measurement and monitoring of shaft torque and power, especially the error that may result in the missing of important signals for fault diagnosis.
机译:基于轴功率测量相位差的方法广泛使用,并且应该比传统方法更准确,就像通过应变仪一样。由于轴的扭矩根据两个编码轮之间的测量角度来计算,所以存在一些潜在的误差,这可能对实验产生了很大的影响,这导致了鲜明的效果。在四个方面研究和分析了误差源。第一个是FPGA中的量化误差,这是由计数器的频率引起的。较低的计数器频率可能导致逻辑算法中的误差误差,用于测量脉冲信号的宽度。在这个问题的研究是找出足够精确的量化频率,但不会增加数据量太多。第二个是传感器中的温度漂移。它是由环境温度的变化产生的。温度对传感器的影响是通用的应用。研究工作中讨论了温度漂移的误差和处理。测量中的第三和第四个错误源是奇异的错误和垂直误差。它们都是轴上编码车轮的不安全安装的结果。所讨论的所有错误来源可能对连续扭矩和功率监测产生大量不确定性。因此,在分析误差源后讨论了潜在误差和改进程度的容差。研究工作将帮助工程师理解误差生成的处理,并防止在测​​量和监测轴扭矩和功率中的不必要问题,尤其是可能导致故障诊断的重要信号缺失的错误。

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