Physics-informed deep learning for signal compression and reconstruction of big data in industrial condition monitoring

Computer Science

• Autoencoder 100%
• Big Data 100%
• Case Study 20%
• Component Analysis 20%
• Compressed Sensing 20%
• Compression Ratio 20%
• Compression Technique 20%
• Computing Device 20%
• Condition Monitoring 100%
• Data Compression 60%
• Deep Learning 100%
• Discrete Cosine Transform 20%
• Domain Knowledge 20%
• Domains 20%
• Downtime 20%
• Fault Diagnosis 20%
• Frequency Content 20%
• Functions 20%
• Hardware 20%
• Health Condition 20%
• Health Information 20%
• Internet 20%
• Internet of Things 20%
• Local Structure 20%
• Monitoring System 20%
• Multiplexing 40%
• Negative Effect 20%
• Operating Condition 40%
• Principal Component 20%
• Relative Performance 20%
• Sensor 20%
• Standards 20%
• Time Monitoring 20%