Multi-sensor and decision-level fusion-based structural damage detection using a one-dimensional convolutional neural network

Keyphrases

• Detection Accuracy 100%
• Structural Damage Detection 100%
• Structural Damage 100%
• Multi-decision 100%
• Multi-sensor 100%
• Decision Fusion 100%
• Acceleration Signal 100%
• Sensor Level Fusion 100%
• 1-dimensional Convolutional Neural Network (1D-CNN) 100%
• Controlled Experiment 66%
• Vibration Signal 66%
• Result Prediction 66%
• Dynamic Response 33%
• Damage Detection 33%
• Testing Sample 33%
• Practical Engineering 33%
• Sensor Systems 33%
• Detection Result 33%
• Damage Classification 33%
• Structure Information 33%
• Fusion Strategy 33%
• CNN Model 33%
• Decision Stages 33%
• Data-level Fusion 33%
• Scale Sensor 33%
• Non-synchronous 33%
• Integrated Detection 33%
• Multiple Acquisitions 33%
• Experimental Dataset 33%

Engineering

• One Dimensional 100%
• Damage Detection 100%
• Structural Damage 100%
• Decision Level 100%
• Convolutional Neural Network 100%
• Acquisition Point 27%
• Experimental Model 18%
• Control Experiment 18%
• Numerical Model 18%
• Dynamic Response 9%
• Structure Information 9%
• Engineering 9%
• Sensor System 9%

Material Science

• Sensor System 100%