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公开(公告)号:US20150012247A1
公开(公告)日:2015-01-08
申请号:US14316883
申请日:2014-06-27
申请人: CSI Technology, Inc.
IPC分类号: G01N29/46
CPC分类号: G01N29/46 , G01H1/00 , G01N29/4427 , G01N29/4454 , G01N29/50
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。
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公开(公告)号:US09791422B2
公开(公告)日:2017-10-17
申请号:US14316883
申请日:2014-06-27
申请人: CSI Technology, Inc.
CPC分类号: G01N29/46 , G01H1/00 , G01N29/4427 , G01N29/4454 , G01N29/50
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.
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