An evolutionary ensemble convolutional neural network for fault diagnosis problem

Keyphrases

• Diagnosis Problems 100%
• Convolutional Neural Network 100%
• Evolutionary Algorithms 100%
• Fault Diagnosis 100%
• Evolutionary Ensemble 100%
• Ensemble Convolutional Neural Networks 100%
• Vibration Data 50%
• Wavelet 25%
• Transform Function 25%
• Local Optimum 25%
• Extracting Features 25%
• Benchmark Problems 25%
• Fourier 25%
• Feature Extraction Methods 25%
• Learning Algorithm 25%
• Global Search 25%
• Weighted Voting 25%
• Ensemble Machine Learning 25%
• Gradient Method 25%
• Automatic Fault Diagnosis 25%
• Vibration Analysis 25%
• Voting System 25%
• Statistical Features 25%
• Gradient Descent 25%

Computer Science

• Diagnose Problem 100%
• Fault Diagnosis 100%
• Convolutional Neural Network 100%
• Evolutionary Algorithms 80%
• Gradient Descent 40%
• Benchmark Problem 20%
• Frequency Domain 20%
• Machine Learning Algorithm 20%
• Statistical Feature 20%
• Feature Extraction 20%
• Learning Algorithm 20%
• Experimental Result 20%