Analysis of Periodic Information in a Signal
    1.
    发明申请
    Analysis of Periodic Information in a Signal 有权
    信号周期信息分析

    公开(公告)号:US20150012247A1

    公开(公告)日:2015-01-08

    申请号:US14316883

    申请日:2014-06-27

    IPC分类号: G01N29/46

    摘要: A “periodic signal parameter” (PSP) indicates periodic patterns in an autocorrelated vibration waveform and potential faults in a monitored machine. The PSP is calculated based on statistical measures derived from an autocorrelation waveform and characteristics of an associated vibration waveform. The PSP provides an indication of periodicity and a generalization of potential fault, whereas characteristics of the associated waveform indicate severity. A “periodic information plot” (PIP) is derived from a vibration signal processed using two analysis techniques to produce two X-Y graphs of the signal data that share a common X-axis. The PIP is created by correlating the Y-values on the two graphs based on the corresponding X-value. The amplitudes of Y-values in the PIP is derived from the two source graphs by multiplication, taking a ratio, averaging, or keeping the maximum value.

    摘要翻译: “周期信号参数”(PSP)表示自相关振动波形中的周期性模式和被监测机器中的潜在故障。 基于从自相关波形和相关联的振动波形的特性导出的统计量计算PSP。 PSP提供周期性的指示和潜在故障的泛化,而相关波形的特征指示严重性。 从使用两种分析技术处理的振动信号中导出“周期信息图”(PIP),以产生共享公共X轴的信号数据的两个X-Y图。 通过基于相应的X值将两个图上的Y值相关联来创建PIP。 PIP中的Y值的幅度通过乘法从两个源图中得出,取比例,平均值或保持最大值。

    Analysis of periodic information in a signal

    公开(公告)号:US09791422B2

    公开(公告)日:2017-10-17

    申请号:US14316883

    申请日:2014-06-27

    摘要: A “periodic signal parameter” (PSP) indicates periodic patterns in an autocorrelated vibration waveform and potential faults in a monitored machine. The PSP is calculated based on statistical measures derived from an autocorrelation waveform and characteristics of an associated vibration waveform. The PSP provides an indication of periodicity and a generalization of potential fault, whereas characteristics of the associated waveform indicate severity. A “periodic information plot” (PIP) is derived from a vibration signal processed using two analysis techniques to produce two X-Y graphs of the signal data that share a common X-axis. The PIP is created by correlating the Y-values on the two graphs based on the corresponding X-value. The amplitudes of Y-values in the PIP is derived from the two source graphs by multiplication, taking a ratio, averaging, or keeping the maximum value.