Sir, why do you use a signal-to-noise ratio if you only have one repetition of an experiment? You need to do at least 3 repetitions, and by that, you see the variation in the data you measured (response). The variation in the data you measured is proof that there is noise. Then after that, you do a robust design. Based on the type of signal-to-noise ratio you selected, Taguchi analysis will give you optimal parameter settings. The noise is still there, but the response is robust/immune due to changes in the control factor. When the response is robust/immune to the noise, the variation in response is reduced. The bell shape will shrink.
Please could you tell me why i have got , the sn ratio plot and mean plot were inversely The values of sn ratio were negative Smaller is better formula was used
Hi.. good video.. i have 1 question, if my response data is negative, error message pop out "* ERROR * Response data must be positive for selected signal-to-noise ratio."... in this situation, if i want to use lager the better SNR or smaller the better, should i convert the data to positive?
@@rodrigoBotinellyhp actually, it just means that under the selected experimental range of parameters, no significant change in output parameter is observed for any change in parameter levels. Try using a broader range of parameters.
The tutorial video is really great. Thank you very much for the comprehensive explanation.
precise and Informative video,, Thanks,,keep it up the good work. It helped me.
Hi!!!
Thank you a lot for sharing your knowledge.
Do you have the same explanation using Dynamic Taguchi method?
Sir, why do you use a signal-to-noise ratio if you only have one repetition of an experiment? You need to do at least 3 repetitions, and by that, you see the variation in the data you measured (response). The variation in the data you measured is proof that there is noise. Then after that, you do a robust design. Based on the type of signal-to-noise ratio you selected, Taguchi analysis will give you optimal parameter settings. The noise is still there, but the response is robust/immune due to changes in the control factor. When the response is robust/immune to the noise, the variation in response is reduced. The bell shape will shrink.
Please could you tell me why i have got , the sn ratio plot and mean plot were inversely The values of sn ratio were negative Smaller is better formula was used
its not exactly what i was looking for but i has solved one of my problem for which my publication was being rejected for couple of months
Hi there I am a research scholar i want to learn ANOVA method and RSM for taguchi L27 DOE please help me
Hi.. good video.. i have 1 question, if my response data is negative, error message pop out "* ERROR * Response data must be positive for selected signal-to-noise ratio."... in this situation, if i want to use lager the better SNR or smaller the better, should i convert the data to positive?
Sir, in your video all the P values are greater than 0.05, does that mean that everything is insignificant??
I think so
in 4:16, what if the P value is not significant?is it the analysis failed?
Having the same issue, all p values are greater than 0.05
@@priyamhaldankar I have the same issue too
@@rodrigoBotinellyhp actually, it just means that under the selected experimental range of parameters, no significant change in output parameter is observed for any change in parameter levels.
Try using a broader range of parameters.
@@priyamhaldankar thank you
How did you get the response value
how do i calculate the response values sir bc u just copied it from somewhere else (?)
The music was really annoying. But good tutorial
Do you perform the ANOVA test? I just see the result.
Yes sir
Muy buen video, usted cree que podria hacer un video de la regresion lineal o cuadratica que presente su analisis.
hi @Kevin Azorza, can you translate your comment in English, so that I could respond to it. Thanks
@@meemaggie1406 Kevin said "Very good video, you think you could make a video of the linear or quadratic regression that presents your analysis"
@@baljinder8239 thanks for the translation :)
How calculate error sir