Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis

1. Introduction to machine fault diagnosis and prognosis 2. The basic principle of transfer learning-based mechanical fault diagnosis and prognosis 3. Fault diagnosis models based on sample transfer components 4. Fault diagnosis models based on feature transfer components 5. Fault diagnosis models based on cross time fields transfer 6. Fault diagnosis models based on cross channel fields transfer 7. Fault diagnosis models based on cross machine fields transfer 8. Prognosis models driven by transfer orders 9. Fault diagnosis and prognosis driven by deep transfer learning 10. Summary

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• Relações industriais e segurança
• Tecnologia e engenharia da energia

Deep learning; neural network; brain computer interface; image classification; computer aided diagnosis; image recognition