Reducing product variations via variance partition analysis
    1.
    发明授权
    Reducing product variations via variance partition analysis 有权
    通过方差分析分析减少产品变化

    公开(公告)号:US08702908B1

    公开(公告)日:2014-04-22

    申请号:US13751198

    申请日:2013-01-28

    CPC classification number: G05B23/0221 G01N21/89 G01N2021/8909

    Abstract: Normalized values are determined from variance partition analysis data boxes acquired for a reel of paper. The value include an average value of variability of machine direction long-term scan energy over a time period; an average value of variability of cross direction profile scan energy observed in a spatial domain over a second time period; an average value of variability of energy of a remainder of data points that are averaged out from a total of machine direction long-term scan average energy variability and cross direction profile scan average energy variability during a third time period; and a total variability value as a function of the machine direction long-term scan average energy variability, the cross direction profile scan average energy variability and the data points remainder average energy variability. An automated diagnosis and analysis function is performed that is specific to one of the values exceeding a threshold.

    Abstract translation: 归一化值是从为一卷纸获取的方差分区分析数据框中确定的。 该值包括一段时间内机器方向长期扫描能量的变化的平均值; 在第二时间段内在空间域中观察到的横向轮廓扫描能量的可变性的平均值; 从总体机器方向长期扫描平均能量变异性和横向轮廓扫描平均的剩余数据点的能量的可变性的平均值在第三时间段期间平均能量变化; 和总变异值作为机器方向的长期扫描平均能量变化的函数,横向轮廓扫描平均能量变异性和数据点余数平均能量变异性。 执行自动诊断和分析功能,其特定于超过阈值的值之一。

Patent Agency Ranking