Creating a Dynamic Response Experiment
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To create a dynamic response experiment you must add a signal factor to your Taguchi design. A dynamic response experiment is used to analyze and improve the functional relationship between an input signal and an output response. Generally, you would use a signal factor when the quality characteristic operates over a range of values depending on some input to the system [4] [6]. An example is an automotive acceleration system, where the input signal is the amount of pressure on the gas pedal, and the dynamic response is the speed of the vehicle. Ideally, there should be a linear relationship between the input signal and output response. Robustness requires that there is minimal variation in this relationship due to noise.

The signal factor values are repeated for every run of the Taguchi design (orthogonal array). Thus, the total number of runs (rows in the worksheet) will be the number of rows in the orthogonal array times the number of levels in the signal variable. For example, adding a signal factor with 2 levels to an L4 (2**3) design, which has 4 runs, creates a design with 8 total runs; adding a signal factor with 3 levels creates a design with 12 total runs.

Static design
(No signal factor)

Dynamic design
(Signal factor
with 2 levels)

Dynamic design
(Signal factor
with 3 levels)

A  B 

1   1 

1   2 

2   1 

2   2 

A   B   Signal factor 

1   1        1 

1   1        2 

1   2        1 

1   2        2

2   1        1

2   1        2 

2   2        1 

2   2        2 

A   B   Signal factor 

1   1        1 

1   1        2 

1   1        3 

1   2        1 

1   2        2

1   2        3 

2   1        1 

2   1        2 

2   1        3

2   2        1 

2   2        2 

2   2        3