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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.

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.

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.

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

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