Damage identification of wind turbine blades using an adaptive method for compressive beamforming based on the generalized minimax-concave penalty function

Keyphrases

• Adaptive Method 100%
• Damage Identification 100%
• Wind Turbine Blade 100%
• Generalized Minimax-concave Penalty 100%
• Compressive Beamforming 100%
• Acoustic Maps 66%
• Convergence Rate 33%
• Recovery Step 33%
• Numerical Simulation 33%
• Existing Algorithms 33%
• Computation Time 33%
• High Spatial Resolution 33%
• Damage Location 33%
• Damage Potential 33%
• Wind Power Generation 33%
• Wind Turbine 33%
• Health Assessment 33%
• Health Management 33%
• Computation Process 33%
• Recovery Capacity 33%
• Global Health 33%
• Remote Health 33%
• Frequency Source 33%
• Sparse Recovery 33%
• Microphone Array Beamforming 33%
• Small Wind Turbine 33%
• Variational Condition 33%
• Acoustic Inverse Problem 33%
• High Efficiency 33%
• In-situ Health Monitoring 33%
• Challenging Issues 33%
• Blade Damage 33%

Engineering

• Adaptive Method 100%
• Penalty Function 100%
• Compressed Air Motors 100%
• Beamforming 100%
• Step Size α 40%
• Power Generation 20%
• Wind Power 20%
• Computation Time 20%
• Convergence Rate 20%
• Damage Location 20%
• Microphone Array 20%
• Frequency Source 20%
• Operation and Maintenance 20%
• Health Monitoring 20%
• Spatial Resolution 20%