Random forest-based nonlinear improved feature extraction and selection for fault classification

Keyphrases

• Feature Extraction 100%
• Random Forest 100%
• Gaussian Process Regression 100%
• Feature Selection 100%
• Forest-based 100%
• Fault Classification 100%
• Fault Detection 66%
• Regression Techniques 66%
• Industrial Processes 33%
• Strong Correlation 33%
• High Linearity 33%
• Process Data 33%
• Random Forest Classifier 33%
• Regression-based Method 33%
• Fault Diagnosis 33%
• Wind Energy Conversion System 33%
• Mean Vector 33%
• Variance Matrix 33%

Computer Science

• Feature Selection 100%
• Random Decision Forest 100%
• Feature Extraction 100%
• Random Forest Classifier 50%
• Fault Diagnosis 50%
• Process Data 50%
• Fault detection 50%
• Variance Matrix 50%