Fatigue damage detection and risk assessment via neural network modeling of ultrasonic signals

Keyphrases

• Neural Network Model 100%
• Damage Risk 100%
• Risk Assessment 100%
• Ultrasonic Signal 100%
• Signal Energy 100%
• Fatigue Damage Assessment 100%
• Attenuation 66%
• Fatigue Damage 66%
• Increasing Risk 33%
• Methods for Detection 33%
• Damage Detection 33%
• Approximation Methods 33%
• Mechanical Structure 33%
• Detection Classification 33%
• Damage Classification 33%
• Wavelet Transform 33%
• Back Propagation Algorithm 33%
• Pertinent Information 33%
• Damage Growth 33%
• Noise Pattern 33%
• Attenuation Processes 33%

Engineering

• Ultrasonics 100%
• Fatigue Damage 100%
• Damage Detection 100%
• Signal Energy 100%
• Damage Risk 100%
• Network Model 66%
• Mechanical Structure 33%
• Back Propagation Method 33%
• Damage Growth 33%
• Damage Classification 33%