Jilun Tian
Orcid: 0000-0002-1381-5511
According to our database1,
Jilun Tian
authored at least 13 papers
between 2021 and 2024.
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Bibliography
2024
SIR-Aided Secure Transmission and Attack Detection for Security Management of Nonlinear Cyber-Physical System Using GRU Autoencoder.
IEEE Trans. Ind. Informatics, April, 2024
A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024
Reliab. Eng. Syst. Saf., March, 2024
A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM.
IEEE Trans. Ind. Informatics, February, 2024
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective.
Reliab. Eng. Syst. Saf., 2024
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024
A Data-Driven Two-Stage Dynamometer Diagram Inference Approach for Variable Operational Conditions in Pumping Machines.
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024
2023
An integrated multi-head dual sparse self-attention network for remaining useful life prediction.
Reliab. Eng. Syst. Saf., May, 2023
A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics.
IEEE Trans. Instrum. Meas., 2023
A Novel Transfer Ensemble Learning Framework for Remaining Useful Life Prediction Under Multiple Working Conditions.
IEEE Trans. Instrum. Meas., 2023
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition.
Reliab. Eng. Syst. Saf., 2023
2022
Random Forest Regression for Battery State-of-Health Estimation Based on Unsupervised Transfer Component Analysis Domain Adaptation.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
2021
Adaptive Boosting Based on Multi-class Neural Networks for IGBT Health Parameter Prediction.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021