Stacked Convolutional Bidirectional LSTM Recurrent Neural Network for Bearing Anomaly Detection in Rotating Machinery Diagnostics

Computer Science

• Long Short-Term Memory Network 100%
• Anomaly Detection 57%
• Simulation Mode 28%
• Diagnostics 28%
• Recurrent Neural Network 28%
• Feature Extraction 28%
• Representation Learning 28%
• Experimental Result 14%
• Network Layer 14%
• Deep Architecture 14%
• Accuracy 14%
• Regression 14%
• Procedures 14%
• Sensor 14%

Physics

• Model 28%
• Rotation 28%
• Vibration 14%
• Anomalies 14%
• Performance 14%
• Algorithms 14%