A.11: DFDD: Difference between revisions

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• '''Related technologies''':
• '''Related technologies''':
• '''Applicable Research Area''':
• '''Applicable Technical Category''':
• '''Applicable Business Category''':
• '''Asset Type''':


• '''License Information''': GNU General Public License version 3
• '''License Information''': GNU General Public License version 3

Revision as of 09:17, 20 December 2024

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

Relevant Domain/Industry: Manufacturing

Application in relevant Projects/Initiatives:

Type: ML Model

AI Breadth:

Learning Ability: Deep Transfer Learning

Related technologies:

Applicable Research Area:

Applicable Technical Category:

Applicable Business Category:

Asset Type:

License Information: GNU General Public License version 3

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

Audience: Developers



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