Reduced GPR based RF Approach for Fault Diagnosis of Wind Energy Conversion Systems

Keyphrases

• Classification Accuracy 25%
• Classification Speed 25%
• Cluster Distance 25%
• Complexity Reduction 25%
• Computation Time 25%
• Computational Burden 25%
• Diagnostic Accuracy 25%
• Dimensionality Reduction 25%
• Euclidean Distance 25%
• Fault Classification 25%
• Fault Detection 25%
• Fault Diagnosis 100%
• Gaussian Process Regression 100%
• GPR Model 25%
• Hierarchical K-means Clustering 25%
• K-means 25%
• Low Computation 25%
• Mean Vector 25%
• Number of Features 25%
• Random Forest 25%
• Random Forest Algorithm 25%
• Random Forest Classifier 25%
• Random Forest Method 100%
• Redundancy 25%
• Regression Forest 25%
• Regression-based Method 25%
• Sensitive Characteristics 25%
• Statistical Features 25%
• System Data 25%
• System Fault 25%
• Variance Matrix 25%
• Wind Energy Conversion System 100%

Engineering

• Complexity Reduction 14%
• Computation Time 14%
• Dimensionality 14%
• Euclidean Distance 14%
• Fault Detection and Diagnosis 14%
• Fault Diagnosis 100%
• Gaussians 57%
• Ground Penetrating Radar Systems 100%
• Illustrates 14%
• Metrics 14%
• Random Forest 100%
• Statistical Feature 14%
• Wind Energy Conversion System 100%

Computer Science

• Average Accuracy 16%
• Complexity Reduction 16%
• Computation Time 16%
• Dimensionality Reduction 16%
• Euclidean Distance 16%
• Fault detection 16%
• Fault Diagnosis 100%
• K-Means Clustering 16%
• Random Decision Forest 100%
• Random Forest Classifier 16%
• Statistical Feature 16%
• Variance Matrix 16%