Kai Zhong
Orcid: 0000-0003-0444-121X
According to our database1,
Kai Zhong
authored at least 13 papers
between 2021 and 2025.
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Collaborative distances:
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Bibliography
2025
Simultaneous Fault Diagnosis and Size Estimation Using Multitask Federated Incremental Learning.
IEEE Trans. Reliab., March, 2025
Implicit-Explicit Collaborative Cross-Stitch Network With Multitask Disentanglement Learning for Fault Diagnosis and Size Estimation.
IEEE Trans. Instrum. Meas., 2025
High-precision prediction of non-resonant high-order harmonics energetic particle modes via stacking ensemble strategies.
Mach. Learn. Sci. Technol., 2025
2024
Degradation-Trend-Aware Deep Neural Network With Attention Mechanism for Bearing Remaining Useful Life Prediction.
IEEE Trans. Artif. Intell., June, 2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Discriminant Analysis-Guided Alignment Network for Multimachine Fault Collaborative Learning and Diagnosis.
IEEE Trans. Instrum. Meas., 2024
A Unified Framework With Collaborative Reasoning Capacity for Nonuniform Industrial Processes Root Cause Identification.
IEEE Trans. Instrum. Meas., 2024
2023
Overview of fault prognosis for traction systems in high-speed trains: A deep learning perspective.
Eng. Appl. Artif. Intell., November, 2023
SMPC-Ranking: A Privacy-Preserving Method on Identifying Influential Nodes in Multiple Private Networks.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
IEEE Trans. Comput. Soc. Syst., April, 2023
IEEE Trans. Instrum. Meas., 2023
2022
Remaining Useful Life Prediction of Bearing via a Double Attention-Based Deep Neural Network.
Proceedings of the IEEE Smartworld, 2022
2021
A Tutorial on Hardware-Implemented Fault Injection and Online Fault Diagnosis for High-Speed Trains.
Sensors, 2021