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Dynamic Characteristics and Non-linearity

Since the Dynamic SN Ratio of the dynamic characteristics looks at linear relationships, nonlinear phenomena cannot be handled.

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Variable Conversion

Before you give up and say, "I can't use the signal-to-noise ratio of the dynamic characteristics," try variable conversion. Variable conversion is the process of converting to a logarithmic or so on. If you perform variable conversion, the signal-to-noise ratio of the dynamic characteristics may be changed to usable data.

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Data Analysis of Nonlinear Phenomena

Without relying on the signal-to-noise ratio of the dynamic characteristics, By drawing a scatter plot for each layer, the nature of the data is determined. You will decide on the analysis strategy.

Calculate the signal-to-noise ratio of static characteristics for each level, make a graph (scatter plot / line graph), and look at the numerical relationship between X and Y. (The dynamic characteristics are evaluated by the signal-to-noise ratio of the static characteristics.) Since the signal-to-noise ratio of the static characteristics alone is not a substitute for the signal-to-noise ratio of the dynamic characteristics, Use graphs as a supplement.

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Standard signal-to-noise ratio

It is a problem that the signal-to-noise ratio of the dynamic characteristics cannot handle nonlinearity, but if you read the literature of quality engineering, There may be a misconception that nonlinear phenomena can be solved by using standard signal-to-noise ratios. (That's how I interpreted it at first.)

I have written in detail about the standard signal-to-noise ratio, but it is true that the Standard SN Ratio has an aspect that can evaluate nonlinear dynamic characteristics. It is not simply a measure of nonlinear correspondence between the signal-to-noise ratio of dynamic characteristics and dynamic characteristics.

NEXT Standard SN Ratio