Fault Classification for Wind Turbine Benchmark Model Based on Hilbert-Huang Transformation and Support Vector Machine Strategies

Computer Science

• Support Vector Machine 100%
• Fault Diagnosis 100%
• Model Benchmark 100%
• Comparison Study 33%
• Smart Meters 33%
• Diagnosis Algorithm 33%
• Supervisory Control and Data Acquisition System 33%
• Machine Learning 33%
• Learning System 33%
• Component Analysis 33%
• Principal Component 33%
• Classification Algorithm 33%
• Simulation Study 33%
• actuator fault 33%
• Monitored System 33%

Chemical Engineering

• Support Vector Machine 100%
• Learning System 50%