Chao Zhao

Orcid: 0000-0002-1749-7223

Affiliations:
  • Huazhong University of Science and Technology, Wuhan, China


According to our database1, Chao Zhao authored at least 13 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
MJAR: A novel joint generalization-based diagnosis method for industrial robots with compound faults.
Robotics Comput. Integr. Manuf., April, 2024

Federated Domain Generalization: A Secure and Robust Framework for Intelligent Fault Diagnosis.
IEEE Trans. Ind. Informatics, February, 2024

Multidomain Class-Imbalance Generalization With Fault Relationship-Induced Augmentation for Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

Cross-Domain Compound Fault Diagnosis of Machine-Level Motors via Time-Frequency Self-Contrastive Learning.
IEEE Trans. Ind. Informatics, 2024

Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study.
Reliab. Eng. Syst. Saf., 2024

A federated distillation domain generalization framework for machinery fault diagnosis with data privacy.
Eng. Appl. Artif. Intell., 2024

Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis.
Adv. Eng. Informatics, 2024

2023
Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis.
IEEE Trans. Ind. Informatics, March, 2023

An Application-oriented Perspective of Domain Generalization for Cross-Domain Fault Diagnosis.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
Adaptive open set domain generalization network: Learning to diagnose unknown faults under unknown working conditions.
Reliab. Eng. Syst. Saf., 2022

Dual adversarial network for cross-domain open set fault diagnosis.
Reliab. Eng. Syst. Saf., 2022

2021
An Anomaly Detection Method for Multiple Time Series Based on Similarity Measurement and Louvain Algorithm.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Prediction of Typical Flue Gas Pollutants from Municipal Solid Waste Incineration Plants.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021


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