Edge Based Predictive Maintenance Using a TinyML Temporal Convolutional Transformer for NASA Turbofan Remaining Useful Life Estimation

Keyphrases

• Cloud Based Computation 25%
• Competitive Prediction 25%
• Degradation Pattern 25%
• Local Degradation 25%
• Long-range Dependency Modeling 25%
• Operational Losses 25%
• Quantized Model 25%
• Service Interval 25%
• Temporal Convolutional Transformer 100%
• TinyML 100%
• Transformer-based Methods 25%
• Unplanned Downtime 25%

Engineering

• Deep Learning Model 25%
• Memory Footprint 25%
• Prediction Accuracy 25%
• Tiny Machine Learning 100%

Computer Science

• Unplanned Downtime 33%