Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests

Computer Science

• binarization 8%
• Binary Feature 8%
• Classification Accuracy 8%
• Collaborative Computing 8%
• Complex Calculation 8%
• Computation Complexity 8%
• Computing Device 8%
• computing paradigm 8%
• Deep Neural Network 100%
• Diagnostic Accuracy 16%
• Edge Computing 41%
• Evaluation Measure 8%
• Extracted Feature 8%
• Fault Detection 8%
• Fault Diagnosis 50%
• fault identification 8%
• Feature Extraction 16%
• Industrial Sector 8%
• Information Loss 8%
• Intelligent Fault Diagnosis 100%
• Modern Industry 8%
• Neural Network Model 16%
• Neural Network Training 8%
• Physical Machine 8%
• Random Decision Forest 100%
• Regularization 8%
• Speed-up 8%
• Storage Requirement 8%
• System Response Time 8%
• Training Process 8%
• Transmission Overhead 8%

Engineering

• Closest Node 14%