End-to-End Partial Discharge Detection in Power Cables via Time-Domain Convolutional Neural Networks

Keyphrases

• Power Cable 100%
• Partial Discharge Detection 100%
• Convolutional Neural Network 100%
• Partial Discharge Pulse 100%
• Support Vector Machine 50%
• Feature Extraction 25%
• Neural Network 25%
• Detection Accuracy 25%
• Neural Network Method 25%
• Detection Algorithm 25%
• Data-driven Approach 25%
• Diagnostic Tool 25%
• Deep Learning Methods 25%
• Feature Representation 25%
• Multilayer Perceptron 25%
• Partial Discharge 25%
• Electrical Equipment 25%
• Settings-based 25%
• Network Anomaly Detection 25%
• Deep Neural Network 25%
• Latent Feature 25%
• Automatic Feature Extraction 25%
• 1-dimensional Convolutional Neural Network (1D-CNN) 25%
• Charge Noise 25%
• Traditional Classifiers 25%

Engineering

• Power Cable 100%
• Time Domain 100%
• Convolutional Neural Network 100%
• Support Vector Machine 66%
• Experimental Result 33%
• Feature Extraction 33%
• One Dimensional 33%
• Detection Algorithm 33%
• Neural Network Approach 33%
• Deep Learning Method 33%
• Deep Neural Network 33%
• Perceptron 33%

Computer Science

• Convolutional Neural Network 100%
• Support Vector Machine 66%
• Experimental Result 33%
• Detection Accuracy 33%
• Neural Network Approach 33%
• Detection Algorithm 33%
• Driven Approach 33%
• Multilayer Perceptron 33%
• Feature Extraction 33%
• Deep Neural Network 33%
• Deep Learning Method 33%