Yiming Zhang

Orcid: 0000-0002-5273-5549

Affiliations:
  • Southwest Jiaotong University, School of Electrical Engineering, Institute of Systems Science and Technology, Chengdu, China


According to our database1, Yiming Zhang authored at least 10 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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3
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5
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie.
IEEE Trans. Instrum. Meas., 2024

GraphFL: Graph Federated Learning for Fault Localization of Multirailway High-Speed Train Suspension Systems.
IEEE Trans. Instrum. Meas., 2024

Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis With Training Optimization and Model Pruning.
IEEE Trans. Instrum. Meas., 2024

2023
Fault Diagnosis of Multi-Railway High-Speed Train Bogies by Improved Federated Learning.
IEEE Trans. Veh. Technol., June, 2023

DenseNet Extension under the Generalized Zero-shot Learning Framework: A Novel strategy for Bogie Fault Diagnosis of High-speed Train.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
High-Accuracy and Adaptive Fault Diagnosis of High-Speed Train Bogie Using Dense-Squeeze Network.
IEEE Trans. Veh. Technol., 2022

Precise Diagnosis of Unknown Fault of High-Speed Train Bogie Using Novel FBM-Net.
IEEE Trans. Instrum. Meas., 2022

Stepwise Adaptive Convolutional Network for Fault Diagnosis of High-Speed Train Bogie Under Variant Running Speeds.
IEEE Trans. Ind. Informatics, 2022

A clustered blueprint separable convolutional neural network with high precision for high-speed train bogie fault diagnosis.
Neurocomputing, 2022


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