Jilun Tian

According to our database, Jilun Tian authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SIR-Aided Secure Transmission and Attack Detection for Security Management of Nonlinear Cyber-Physical System Using GRU Autoencoder.

Shimeng Wu, Hao Luo, Yuchen Jiang, Jiusi Zhang, Jilun Tian, Shen Yin

IEEE Trans. Ind. Informatics, April, 2024

A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis.

Jilun Tian, Jiusi Zhang, Yuchen Jiang, Shimeng Wu, Hao Luo, Shen Yin

Reliab. Eng. Syst. Saf., March, 2024

A novel data augmentation approach to fault diagnosis with class-imbalance problem.

Jilun Tian, Yuchen Jiang, Jiusi Zhang, Hao Luo, Shen Yin

Reliab. Eng. Syst. Saf., March, 2024

A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM.

Jiusi Zhang, Cong-Sheng Huang, Mo-Yuen Chow, Xiang Li, Jilun Tian, Hao Luo, Shen Yin

IEEE Trans. Ind. Informatics, February, 2024

2023

An integrated multi-head dual sparse self-attention network for remaining useful life prediction.

Jiusi Zhang, Xiang Li, Jilun Tian, Hao Luo, Shen Yin

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.

Jiusi Zhang, Jilun Tian, Minglei Li, Jose Ignacio León Galván, Leopoldo García Franquelo, Hao Luo, Shen Yin

IEEE Trans. Instrum. Meas., 2023

A Novel Transfer Ensemble Learning Framework for Remaining Useful Life Prediction Under Multiple Working Conditions.

Jilun Tian, Yuchen Jiang, Jiusi Zhang, Shimeng Wu, Hao Luo

IEEE Trans. Instrum. Meas., 2023

A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition.

Jiusi Zhang, Xiang Li, Jilun Tian, Yuchen Jiang, Hao Luo, Shen Yin

Reliab. Eng. Syst. Saf., 2023

2022

Random Forest Regression for Battery State-of-Health Estimation Based on Unsupervised Transfer Component Analysis Domain Adaptation.

Jilun Tian, Jiusi Zhang, Cong-Sheng Huang, Mo-Yuen Chow, Hao Luo

Proceedings of the IEEE International Conference on Industrial Technology, 2022

2021

Adaptive Boosting Based on Multi-class Neural Networks for IGBT Health Parameter Prediction.

Jilun Tian, Yuchen Jiang, Hao Luo, Shen Yin

Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021