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1.发明申请FILTERING TECHNIQUES TO REMOVE NOISE FROM A PERIODIC SIGNAL AND Irms CALCULATIONS 有权从周期信号和Irms计算中去除噪声的滤波技术公开(公告)号：US20120095704A1
公开(公告)日：2012-04-19
申请号：US13280787
申请日：2011-10-25
CPC分类号： G01R21/133 , G01R15/202 , G01R19/2506
摘要： Signal filtering removes effects of a periodic, low-frequency noise signal from a signal of interest. A signal waveform is sampled at different points of a number of consecutive periodic noise signal cycles and the collected samples are averaged to produce a corrected signal. The number of consecutive cycles in which samples are taken and averaged is inversely related to the signal amplitude such that as the signal level decreases, the number of cycles examined increases. Improved RMS calculations are obtained for filtering low-frequency random noise from Hall sensors by averaging samples at different points of a signal cycle to create a composite desired signal cycle to facilitate other signal calculations.
摘要翻译： 信号滤波消除了来自感兴趣的信号的周期性低频噪声信号的影响。 信号波形在多个连续的周期性噪声信号周期的不同点进行采样，并且采集的采样被平均以产生校正的信号。 采样和平均采样的连续周期数与信号幅度成反比，使得当信号电平降低时，检查的周期数增加。 通过对信号周期的不同点的采样进行平均滤波，对霍尔传感器的低频随机噪声进行滤波，得到改进的RMS计算，以产生复合的期望信号周期，以促进其他信号计算。
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2.发明申请FILTERING TECHNIQUES TO REMOVE NOISE FROM A PERIODIC SIGNAL AND Irms CALCULATIONS 有权从周期信号和Irms计算中去除噪声的滤波技术公开(公告)号：US20110130978A1
公开(公告)日：2011-06-02
申请号：US13024684
申请日：2011-02-10
CPC分类号： G01R21/133 , G01R15/202 , G01R19/2506
摘要： A signal filtering technique is designed to remove the effects of a periodic, low-frequency noise signal from a signal of interest. A signal waveform is sampled at different points of a number of consecutive periodic noise signal cycles and the collected samples are averaged to produce a corrected signal. The number of consecutive cycles in which samples are taken and averaged is inversely related to the signal amplitude such that as the signal level decreases, the number of cycles examined increases. The technique is particularly applicable to periodic signals associated with the output of Hall effect sensors in an electrical metrology environment. Improved RMS calculations are obtained for filtering low-frequency random noise from Hall sensors by averaging samples at different points of a signal cycle to create a composite desired signal cycle to facilitate other signal calculations. In a given electricity utility meter incorporating solid state circuitry, such metrology RMS calculations may be implemented in a metrology section of solid state devices provided on printed circuit boards, such as utilizing programmable integrated circuit components. By varying the number of cycles summed, the algorithm will adapt to amplitude changes more quickly. By using time averaged samples to filter random noise from the periodic signal of interest, the overall requirements for complex filtering is reduced. Instead, the technique relies on buffering and averaging synchronized samples for a given number of line cycles, so that by increasing the buffer size, larger numbers of line cycles can be accumulated and the filter cut-off frequency reduced.
摘要翻译： 信号滤波技术被设计为消除来自感兴趣信号的周期性低频噪声信号的影响。 信号波形在多个连续的周期性噪声信号周期的不同点进行采样，并且采集的采样被平均以产生校正的信号。 采样和平均采样的连续周期数与信号幅度成反比，使得当信号电平降低时，检查的周期数增加。 该技术特别适用于在电气测量环境中与霍尔效应传感器的输出相关联的周期性信号。 通过对信号周期的不同点的采样进行平均滤波，对霍尔传感器的低频随机噪声进行滤波，得到改进的RMS计算，以产生复合的期望信号周期，以促进其他信号计算。 在包含固态电路的给定电力计量表中，这样的计量RMS计算可以在诸如利用可编程集成电路部件的印刷电路板上提供的固态器件的计量部分中实现。 通过改变求和的周期数，该算法将更加适应幅度变化。 通过使用时间平均采样来从感兴趣的周期信号中滤除随机噪声，减少了复杂滤波的总体要求。 相反，该技术依赖于对于给定数量的行周期的缓冲和平均同步样本，使得通过增加缓冲器大小，可以累积更大数量的行周期并且减少滤波器截止频率。
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3.发明授权Filtering techniques to remove noise from a periodic signal and Irms calculations 有权滤波技术从周期信号和Irms计算中去除噪声公开(公告)号：US08135564B2
公开(公告)日：2012-03-13
申请号：US13024684
申请日：2011-02-10
IPC分类号： G01R21/00
CPC分类号： G01R21/133 , G01R15/202 , G01R19/2506
摘要： A signal filtering technique is designed to remove the effects of a periodic, low-frequency noise signal from a signal of interest. A signal waveform is sampled at different points of a number of consecutive periodic noise signal cycles and the collected samples are averaged to produce a corrected signal. The number of consecutive cycles in which samples are taken and averaged is inversely related to the signal amplitude such that as the signal level decreases, the number of cycles examined increases. The technique is particularly applicable to periodic signals associated with the output of Hall effect sensors in an electrical metrology environment. Improved RMS calculations are obtained for filtering low-frequency random noise from Hall sensors by averaging samples at different points of a signal cycle to create a composite desired signal cycle to facilitate other signal calculations. In a given electricity utility meter incorporating solid state circuitry, such metrology RMS calculations may be implemented in a metrology section of solid state devices provided on printed circuit boards, such as utilizing programmable integrated circuit components. By varying the number of cycles summed, the algorithm will adapt to amplitude changes more quickly. By using time averaged samples to filter random noise from the periodic signal of interest, the overall requirements for complex filtering is reduced. Instead, the technique relies on buffering and averaging synchronized samples for a given number of line cycles, so that by increasing the buffer size, larger numbers of line cycles can be accumulated and the filter cut-off frequency reduced.
摘要翻译： 信号滤波技术被设计为消除来自感兴趣信号的周期性低频噪声信号的影响。 信号波形在多个连续的周期性噪声信号周期的不同点进行采样，并且采集的采样被平均以产生校正的信号。 采样和平均采样的连续周期数与信号幅度成反比，使得当信号电平降低时，检查的周期数增加。 该技术特别适用于在电气测量环境中与霍尔效应传感器的输出相关联的周期性信号。 通过对信号周期的不同点的采样进行平均滤波，对霍尔传感器的低频随机噪声进行滤波，得到改进的RMS计算，以产生复合的期望信号周期，以促进其他信号计算。 在包含固态电路的给定电力计量表中，这样的计量RMS计算可以在诸如利用可编程集成电路部件的印刷电路板上提供的固态器件的计量部分中实现。 通过改变求和的周期数，该算法将更加适应幅度变化。 通过使用时间平均采样来从感兴趣的周期信号中滤除随机噪声，减少了复杂滤波的总体要求。 相反，该技术依赖于对于给定数量的行周期的缓冲和平均同步样本，使得通过增加缓冲器大小，可以累积更大数量的行周期并且减少滤波器截止频率。
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4.发明授权Filtering techniques to remove noise from a periodic signal and IRMS calculations 有权滤波技术从周期信号和IRMS计算中消除噪声公开(公告)号：US09116185B2
公开(公告)日：2015-08-25
申请号：US13280787
申请日：2011-10-25
IPC分类号： G01R21/00 , G01R21/06 , G01R13/00 , G01R29/26 , H03F1/26 , H04B15/00 , G01R21/133 , G01R15/20 , G01R19/25
CPC分类号： G01R21/133 , G01R15/202 , G01R19/2506
摘要： Signal filtering removes effects of a periodic, low-frequency noise signal from a signal of interest. A signal waveform is sampled at different points of a number of consecutive periodic noise signal cycles and the collected samples are averaged to produce a corrected signal. The number of consecutive cycles in which samples are taken and averaged is inversely related to the signal amplitude such that as the signal level decreases, the number of cycles examined increases. Improved RMS calculations are obtained for filtering low-frequency random noise from Hall sensors by averaging samples at different points of a signal cycle to create a composite desired signal cycle to facilitate other signal calculations.
摘要翻译： 信号滤波消除了来自感兴趣的信号的周期性低频噪声信号的影响。 信号波形在多个连续的周期性噪声信号周期的不同点进行采样，并且采集的采样被平均以产生校正的信号。 采样和平均采样的连续周期数与信号幅度成反比，使得当信号电平降低时，检查的周期数增加。 通过对信号周期的不同点的采样进行平均滤波，对霍尔传感器的低频随机噪声进行滤波，得到改进的RMS计算，以产生复合的期望信号周期，以促进其他信号计算。
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5.发明授权Filtering techniques to remove noise from a periodic signal and Irms calculations 有权滤波技术从周期信号和Irms计算中去除噪声公开(公告)号：US07949499B2
公开(公告)日：2011-05-24
申请号：US11811650
申请日：2007-06-11
IPC分类号： G01R21/06
CPC分类号： G01R21/133 , G01R15/202 , G01R19/2506
摘要： A signal filtering technique is designed to remove the effects of a periodic, low-frequency noise signal from a signal of interest. A signal waveform is sampled at different points of a number of consecutive periodic noise signal cycles and the collected samples are averaged to produce a corrected signal. The number of consecutive cycles in which samples are taken and averaged is inversely related to the signal amplitude such that as the signal level decreases, the number of cycles examined increases. The technique is particularly applicable to periodic signals associated with the output of Hall effect sensors in an electrical metrology environment. Improved RMS calculations are obtained for filtering low-frequency random noise from Hall sensors by averaging samples at different points of a signal cycle to create a composite desired signal cycle to facilitate other signal calculations. In a given electricity utility meter incorporating solid state circuitry, such metrology RMS calculations may be implemented in a metrology section of solid state devices provided on printed circuit boards, such as utilizing programmable integrated circuit components. By varying the number of cycles summed, the algorithm will adapt to amplitude changes more quickly. By using time averaged samples to filter random noise from the periodic signal of interest, the overall requirements for complex filtering is reduced. Instead, the technique relies on buffering and averaging synchronized samples for a given number of line cycles, so that by increasing the buffer size, larger numbers of line cycles can be accumulated and the filter cut-off frequency reduced.
摘要翻译： 信号滤波技术被设计为消除来自感兴趣信号的周期性低频噪声信号的影响。 信号波形在多个连续的周期性噪声信号周期的不同点进行采样，并且采集的采样被平均以产生校正的信号。 采样和平均采样的连续周期数与信号幅度成反比，使得当信号电平降低时，检查的周期数增加。 该技术特别适用于在电气测量环境中与霍尔效应传感器的输出相关联的周期性信号。 通过对信号周期的不同点的采样进行平均滤波，对霍尔传感器的低频随机噪声进行滤波，得到改进的RMS计算，以产生复合的期望信号周期，以促进其他信号计算。 在包含固态电路的给定电力计量表中，这样的计量RMS计算可以在诸如利用可编程集成电路部件的印刷电路板上提供的固态器件的计量部分中实现。 通过改变求和的周期数，该算法将更加适应幅度变化。 通过使用时间平均采样来从感兴趣的周期信号中滤除随机噪声，减少了复杂滤波的总体要求。 相反，该技术依赖于对于给定数量的行周期的缓冲和平均同步样本，使得通过增加缓冲器大小，可以累积更大数量的行周期并且减少滤波器截止频率。
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