Two phase flow pattern classification based on void fraction time series and machine learning

Codes and features used in the nested cross-validation process proposed in the article "Two phase flow pattern classification based on void fraction time series and machine learning" submitted to the journal flow measurement and instrumentation.

Repository Structure:

Data:

Folder containing the pre-processed features and results obtained.

Notebooks:

Folder containing the jupyter notebook used in data analysis.

Scripts:

Folder containing python scripts for data processing

• "GMM Nested Cross Validation.py" used for development and validation of nested cross validation process.
• "GMM Nested Cross Validation-feature selection.py" Basically an update of the previous script considering the feature selection process and some little updates. This was the script used to obtain the results discussed in the paper.