Scope:

Tool condition experimental data are collected under 2 different manufacturing cutters.

1. use a single cutter (experiment1.csv) to build up regresison model

• separate data into train and test (80-20)
• test and evaluate model accuracy
• correlation analysis to select features, use the selected features and rebuild regression modelling
• principle component analysis (PCA) for data compression and model testing
• compare all the modelling results

2. use one cutter (experiment1.csv) as training and another cutter (experiement1_1.csv) as testing to build up model.

• test and evaluate model accuracy
• correlation analysis to select features, use the selected features and rebuild regression modelling
• principle component analysis (PCA) for data compression and model testing
• compare all the modelling results

Read the pdf for more information on milling machine. manual.pdf