Interpretable Machine Learning Methods for Monitoring Polymer Degradation in Extrusion of Polylactic Acid

Engineering

• Accurate Prediction 16%
• Black Box 16%
• Computational Efficiency 16%
• Extruders 16%
• Extrusion Process 16%
• Induced Degradation 16%
• Least Absolute Shrinkage and Selection Operator 16%
• Least Square 33%
• Machine Learning Method 100%
• Melting Temperature 16%
• Molecular Mass 66%
• Molecular Weight 66%
• Polymer Degradation 100%
• Polymer Molecular Weight 16%
• Principal Components 16%
• Process Condition 33%
• Quality Control 16%
• Random Forest 50%
• Recursive 100%
• Sensor Data 16%
• Setting Process 16%
• Soft Sensor 50%
• Spinning (Fibers) 16%
• Yield Point 16%

Material Science

• Fiber Spinning 100%
• Polylactide 100%
• Polymer Degradation 100%
• Yield Stress 100%

Chemical Engineering

• Learning System 100%