A.11: DFDD

• Short Description: A two-phase, digital-twin-assisted fault diagnosis method which is using deep transfer learning fault diagnosis both in the development and maintenance phases.

• Reference, URL: https://ieeexplore.ieee.org/document/8598879

• 'Applicable Business Category: Manufacturing

• Application in relevant Projects/Initiatives:

• Asset Type: ML Model

• AI Breadth: ML

• Learning Ability: Deep Transfer Learning

• Related technologies: Digital Twin, Deep Learning, Fault Diagnosis, Real Time analytic

• Applicable Research Area: Integrative AI

• Applicable Technical Category: Machine Learning

• License Information: GNU General Public License version 3

• Related to circularity and sustainability: Yes_Fault Diagnosis/Eco-Design

• Audience: Developers

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