Research on fault diagnosis model driven by artificial intelligence from domain adaptation to domain generalization

Gaofeng Xu; Yu Cao

doi:10.1117/12.2684557

19 October 2023 Research on fault diagnosis model driven by artificial intelligence from domain adaptation to domain generalization

Gaofeng Xu, Yu Cao

Author Affiliations +

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270967 (2023) https://doi.org/10.1117/12.2684557
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Transfer learning is studied through inductive research, knowledge transfer, lifelong learning and cumulative learning. The research scope and field of transfer learning are very wide. Transfer learning is a training method that can transfer the network structure and weight originally used to solve the mature task methodology to the new learning task, and can also get better results in the new task. The reason why transfer learning can be realized is that the characteristics of convolutional neural network in shallow learning are universal. In the case of insufficient samples, transfer learning can be used to transfer these general feature learning from other trained networks, so as to save training time and obtain better recognition results.

Citation Download Citation

Gaofeng Xu and Yu Cao "Research on fault diagnosis model driven by artificial intelligence from domain adaptation to domain generalization", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270967 (19 October 2023); https://doi.org/10.1117/12.2684557

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available