Zhenghong Wu

According to our database1, Zhenghong Wu authored at least 13 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis.
Reliab. Eng. Syst. Saf., July, 2023

Conditional distribution-guided adversarial transfer learning network with multi-source domains for rolling bearing fault diagnosis.
Adv. Eng. Informatics, April, 2023

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis.
Adv. Eng. Informatics, April, 2023

Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching.
Reliab. Eng. Syst. Saf., 2023

Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022
A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data.
J. Intell. Manuf., 2022

A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis.
Adv. Eng. Informatics, 2022

Machine fault diagnosis with small sample based on variational information constrained generative adversarial network.
Adv. Eng. Informatics, 2022

A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains.
Adv. Eng. Informatics, 2022

Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022

2021
Promoting cooperation by reputation scoring mechanism based on historical donations in public goods game.
Appl. Math. Comput., 2021

2020
A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data.
Knowl. Based Syst., 2020

2005
Generating Personalized Answers by Constructing a Question Situation.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005


  Loading...