Xueyi Zhang
Orcid: 0000-0001-7794-1827Affiliations:
- University of Science and Technology Beijing, Beijing, China
According to our database1,
Xueyi Zhang authored at least 11 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Trinity of Safety-Quality-Efficiency: Cloud-Edge-Device Collaborative Monitoring for Manufacturing Systems With Industrial Validation.
IEEE Internet Things J., 2026
An exergy-related fault diagnosis framework based on fault-agnostic meta-learning for industrial multimode batch processes.
Neurocomputing, 2026
2025
A deep semi-supervised echo state network-based distributed operating performance assessment framework for manufacturing processes optimized by enhanced black-winged kite algorithm.
Appl. Intell., August, 2025
A KPI-related fault diagnosis method for multimode manufacturing processes based on supervised minimal gated unit and sparse broad learning system.
Appl. Soft Comput., 2025
2024
A Novel Quality-Related Distributed Fault Diagnosis Framework for Large-Scale Sequential Manufacturing Processes.
IEEE Trans. Ind. Informatics, March, 2024
A cloud-edge collaboration based quality-related hierarchical fault detection framework for large-scale manufacturing processes.
Expert Syst. Appl., 2024
2023
A Robust Fault Classification Method for Streaming Industrial Data Based on Wasserstein Generative Adversarial Network and Semi-Supervised Ladder Network.
IEEE Trans. Instrum. Meas., 2023
2022
KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process.
Expert Syst. Appl., 2022
Distributed Operating Performance Assessment for Hot Strip Mill Process Based on Probabilistic Support Tensor Data Description with Feature Tensor.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
2021
Quality Anomaly Monitoring and Comprehensive Diagnosis Framework for Plant-wide Process Industries with Spatio-Temporal Coordination.
Proceedings of the CAA Symposium on Fault Detection, 2021
A Quality-related Fault Detection Method for Nonlinear Industrial Processes Based on Mixed Kernel Partial Least Squares.
Proceedings of the CAA Symposium on Fault Detection, 2021