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Assignable causes and autocorrelation:Control charts for observations or residuals?

机译:可分配的原因和自相关:用于观察或残差的控制图?

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In many industrial processes,the disturbance generated by an assignable cause is affected by the same inertial elements as the observations from the common-cause system.In these situations,the manifestation of the assignable cause differs from that in many common models.A control chart based on the observations can be effective for statistical process control,but its success depends on the relationship of the time series model produced by the inertial elements to the magnitude of the disturbance in the input.This characterization provides insignt into the comparison of charts based on residuals to those based on the raw data.A dynamic system is provided as a simple example.(18 refs.)
机译:在许多工业过程中,由可确定原因引起的扰动受惯性因素影响的原因与从常见原因系统中观察到的惯性因素相同。在这些情况下,可确定原因的表现形式不同于许多常见模型。基于观察结果的方法可以有效地进行统计过程控制,但其成功与否取决于惯性元素生成的时间序列模型与输入中扰动幅度的关系。以原始数据为基础的残差。提供了一个动态系统作为简单示例(18个参考)。

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