How to choose the best methods for pre-processing experimental data in Nuclear Engineering (NE)?
Best regards
Since you did not specify the type of data and the tasks you intend to use these data for, It's impossible to say. There is no... universal way on data pre-processing, be it Nuclear Engineering or not. If you have a set of requirements, than you follow thee requirements. On the other hand, you can treat the data any way you like, as long as you can justify your logic.
If you can elaborate a bit on the type of data and the intended use, perhaps you'd get better answers.
Nuclear Engineering is not different that other sciences. Of course You need to check the consintency of Your data: in particular checking validity, accuracy and usability. Usability of course is determined by the purpose of experimental activity
Dear @Klemen, dear @Adriano,
What about using these techniques?
- DWT decomposition
- EMD decomposition
- VMD decomposition
-EWT decomposition
-Smoothing using Kalman filter
Denoising techniques as the data are experimental data?
Best regards
These tecniques you listed are related to signals that depends by time parameter. Every signal processing you are using is introducing an additional error and so it affects the accuracy of the measurement. It depends by the nature of the original data. Every method is appropriate for the different purposes. The best method to be adopted depends by the type of the original data e by the enquiry. There is not a general rule.
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