Yan Ruqiang, Zhao Zhibin. Deep Neural Networks-enabled Intelligent Fault Diagnosis of Mechanical Systems[M]. CRC Press, 2024.

一、SCI论文(H-index: 41, 谷歌学术引用7236次，截止于2025年5月4日)

1. Sen Wang, Tingting Zhang, Sicheng Yang, Ruoyu Liu, Borun Li, Jian Wang, De-Wen Zhang*, Zhibin Zhao*. A Gesture Recognition System Using Electrical Impedance Tomography with Improved Electrode Layout and Classification Techniques[J]. IEEE Transactions on Instrumentation and Measurement, 2025.
2. Fujin Wang, Zhi Zhai, Yi Di, Zhibin Zhao*, Xuefeng Chen. Physics-Informed Neural Network for Satellite Battery Degradation Estimation Based on an Extreme Segment Data Within 2 Min[J]. IEEE Transactions on Industrial Electronics, 2025.
3. Qiuyu Yu, Fujin Wang, Zhi Zhai, Shiyu Zheng, Bingchen Liu, Zhibin Zhao*, Xuefeng Chen. Multi-time scale feature extraction for early prediction of battery RUL and knee point using a hybrid deep learning approach[J]. Journal of Energy Storage, 2025, 117: 116024.
4. Ran An, Zuogang Shang, Yuhong Liu, Xin Wu, Jing Ren, Zhibin Zhao*. Imbalanced domain adaptation Net for multi-class Electrocardiography signals classification[J]. Biomedical Signal Processing and Control, 2025, 108: 107912.
5. Bowen Yu, Yuhong Liu, Xin Wu, Jing Ren, Zhibin Zhao*. Trustworthy diagnosis of Electrocardiography signals based on out-of-distribution detection[J]. PloS one, 2025, 20(2): e0317900.
6. Kunpeng Tan, Jiafeng Tang, Zhibin Zhao*, Chenxi Wang, Xingwu Zhang, Huihui Miao, Xuefeng Chen. Learning with limited annotations: Deep semi-supervised learning paradigm for layer-wise defect detection in laser powder bed fusion[J]. Optics & Laser Technology, 2025, 185: 112586.
7. Zhibin Zhao, Bingchen Liu, Fujin Wang, Shiyu Zheng, Qiuyu Yu, Zhi Zhai*, Xuefeng Chen. Exploration of Imbalanced Regression in state-of-health estimation of Lithium-ion batteries[J]. Journal of Energy Storage, 2025, 105: 114542.
8. Zhongke Qu, Ke Yang, Yue Li, Xuemei Jiang, Yang Zhang, Yanyan Zhao, Wenfei Wu, Yuan Gao, Zhaolin Gu*, Zhibin Zhao*. On Grain Security by Temperature Interpolation: A Deep Learning Method for Comprehensive Data Fusion in Smart Granaries[J]. IEEE Transactions on Instrumentation and Measurement, 2024.
9. Chenxi Wang, Chaofan Wang, Baoqing Ding, Zhibin Zhao*, Xuefeng Chen, Yi Liu. Time-frequency post-processing method based on generalized S-transform and its application to aero engine rotor system fault diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2024.
10. Huaqing Zhang, Zhibin Zhao*, Chenxi Wang, Xingwu Zhang, Xuefeng Chen. Mitigating domain shift in online process monitoring for material extrusion additive manufacturing via transfer learning[J]. Additive Manufacturing, 2024, 94: 104467.
11. Chang Guo, Zuogang Shang, Jiaxin Ren, Zhibin Zhao*, Baoqing Ding, Shibin Wang, Xuefeng Chen. CIS2N: Causal independence and sparse shift network for rotating machinery fault diagnosis in unseen domains[J]. Reliability Engineering & System Safety, 2024, 251: 110381.
12. Fujin Wang, Ziqian Wu, Zhibin Zhao*, Zhi Zhai, Chenxi Wang, Xuefeng Chen. Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data[J]. Reliability Engineering & System Safety, 2024: 110325.
13. Zhibin Zhao, Weilin Liu, Jiaxin Ren, Chenxi Wang*, Yixuan He, Xingwu Zhang, Xuefeng Chen. Uncertainty-driven trustworthy defect detection for high-resolution powder bed images in selective laser melting[J]. Journal of Manufacturing Systems, 2024, 72: 59-73.
14. Kunpeng Tan, Jiafeng Tang, Zhibin Zhao*, Chenxi Wang, Huihui Miao, Xingwu Zhang, Xuefeng Chen. Efficient and lightweight layer-wise in-situ defect detection in laser powder bed fusion via knowledge distillation and structural re-parameterization[J]. Expert Systems with Applications, 2024, 255: 124628.
15. Jingcheng Wen, Jiaxin Ren, Zhibin Zhao*, Zhi Zhai, Xuefeng Chen. Residual-based adversarial feature decoupling for remaining useful life prediction of aero-engines under variable operating conditions[J]. Expert Systems with Applications, 2024: 124538.
16. Fujin Wang, Zhi Zhai, Zhibin Zhao*, Yi Di, Xuefeng Chen*. Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis[J]. Nature Communications, 2024, 15(1): 4332.
17. Jiafeng Tang, Zhibin Zhao*, Yanjie Guo, Chenxi Wang, Xingwu Zhang, Ruqiang Yan, Xuefeng Chen. Privacy-preserving federated transfer learning for defect identification from highly imbalanced image data in additive manufacturing[J]. Robotics and Computer-Integrated Manufacturing, 2024, 89: 102779.
18. Jiaxin Ren, Jingcheng Wen, Zhibin Zhao*, Ruqiang Yan, Xuefeng Chen, Asoke K. Nandi. Uncertainty-Aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis[J]. IEEE/CAA Journal of Automatica Sinica, 2024, 11(6): 1-14.

19. Fujin Wang, Zhi Zhai, Bingchen Liu, Shiyu Zheng, Zhibin Zhao*, Xuefeng Chen. Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries[J]. Journal of Energy Storage, 2024, 77: 109884.
20. Chenxi Wang, Yuxiang Zhang, Zhibin Zhao*, Xuefeng Chen, Jiawei Hu. Dynamic model-assisted transferable network for liquid rocket engine fault diagnosis using limited fault samples[J]. Reliability Engineering & System Safety, 2024, 243: 109837.
21. Chang Guo, Zhibin Zhao*, Jiaxin Ren, Shibin Wang, Yilong Liu, Xuefeng Chen. Causal explaining guided domain generalization for rotating machinery intelligent fault diagnosis [J]. Expert Systems with Applications, 2024, 243: 122806.
22. Fujin Wang, Quanquan Zhi, Zhibin Zhao*, Zhi Zhai*, Yingkai Liu, Huan Xi, Shibin Wang, Xuefeng Chen. Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis [J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 232: 109046.
23. Xingwu Zhang, Rui Ma, Yu Zhao, Chenxi Wang, Zhibin Zhao*, Xuefeng Chen. Differentiable sampling based efficient architecture search for automatic fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107214.
24. Xinxian Chen, Xiaotian Shi, Jiafeng Tang, Zhibin Zhao*, Yanjie Guo*, Lei Yang. Fast robust enhanced trend filter: A promising tool for automatically extracting high precision friction coefficient under unknown noise[J]. Measurement, 2023, 220: 113384.
25. Xingwu Zhang, Zhenjiang Leng, Zhibin Zhao*, Ming Li, Dan Yu, Xuefeng Chen. Spatial-temporal dual-channel adaptive graph convolutional network for remaining useful life prediction with multi-sensor information fusion[J]. Advanced Engineering Informatics, 2023, 57: 102120.
26. Zuogang Shang, Zhibin Zhao*, Ruqiang Yan, Xuefeng Chen. Core loss: Mining core samples efficiently for robust machine anomaly detection against data pollution[J]. Mechanical Systems and Signal Processing, 2023, 189: 110046.
27. Fujin Wang, Zhibin Zhao*, Zhi Zhai, Zuogang Shang, Ruqiang Yan, Xuefeng Chen. Explainability-driven model improvement for SOH estimation of lithium-ion battery[J]. Reliability Engineering & System Safety, 2023, 232: 109046.
28. Yanjie Guo, Jiafeng Tang, Lei Yang*, Zhibin Zhao*, Miao Wang, Peng Shi. RobustFlow: An unsupervised paradigm toward real-world wear detection and segmentation with normalizing flow[J]. Tribology International, 2023, 179: 108173.
29. Fujin Wang, Zhibin Zhao*, Jiaxin Ren, Zhi Zhai, Shibin Wang, and Xuefeng Chen. “A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradation trend,” Journal of Power Sources, 2022, 521: 230975.
30. Fujin Wang, Zhibin Zhao*, Zhi Zhai, Yanjie Guo, Huan Xi, Shibin Wang, and Xuefeng Chen. "Feature disentanglement and tendency retainment with domain adaptation for Lithium-ion battery capacity estimation, " Reliability Engineering & System Safety, 2023, 230(108897).
31. Jian Yu, Lei Yang*, Zhibin Zhao*, Yanjie Guo, and Xiao Guo. “Monitoring on triboelectric nanogenerator and deep learning method,” Nano Energy, 2022, 92: 106698.
32. Xiaotian Shi, Lu Xu, Haibo Xu, Chuan Jiang, Zhibin Zhao*, Yanjie Guo*, Xuefeng Chen. A 6-DOF humanoid wall-climbing robot with flexible adsorption feet based on negative pressure suction[J]. Mechatronics, 2022, 87: 102889.
33. Zhibin Zhao, Tianfu Li, Botao An, Shibin Wang, Baoqing Ding, Xuefeng Chen. Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis[J]. ISA transactions, 2022, 129: 644-662.
34. Zhibin Zhao, Darcy Murphy, Hugh Gifforf, Stefan Williams, Annie darlington, Samuel Rellton, and David Wong. "Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs," Physiological Measurement, 2022, 43(3): 034001.
35. Zhibin Zhao, Shibin Wang, David Wong, et al. "Robust Enhanced Trend Filtering With Unknown Noise," Signal Processing, 2021, 180: 107889.
36. Zhibin Zhao, Jingyao Wu, Tianfu Li, Chuang Sun, Ruqiang Yan and Xuefeng Chen. "Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review," Chinese Journal of Mechanical Engineering, 2021, 34(1): 1-29.
37. Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, et al. "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study," IEEE Transactions on Instrumentation and Measurement, 2021, 70: 3525828.
38. Zhibin Zhao, Shibin Wang, David Wong, et al. "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis," IEEE/ASME Transactions on Mechatronics, 2021, 27(4): 2333-2344.
39. Zhibin Zhao, Shibin Wang, Chuang Sun, Ruqiang Yan, and Xuefeng Chen, “Sparse Multiperiod Group Lasso for Bearing Multifault Diagnosis,” IEEE Transactions on Instrumentation and Measurement, 2020, 69(2): 419-431.
40. Zhibin Zhao, Shibin Wang, Botao An, Yanjie Guo, and Xuefeng Chen, “Hierarchical Hyper-Laplacian Prior for Weak Fault Feature Enhancement,” ISA transactions, 2020, 96: 429-443.
41. Zhibin Zhao, Shibin Wang, Weixin Xu, Shuming Wu, David Wong, and Xuefeng Chen, "Sparsity-assisted Fault Feature Enhancement: Algorithm-aware versus Model-aware," IEEE Transactions on Instrumentation and Measurement, 2020 69(9): 7004 - 7014.
42. Zhibin Zhao, Tianfu Li, Jingyao Wu, Chuang Sun, Shibin Wang, Ruqiang Yan, and Xuefeng Chen "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study," ISA Transactions, 2020, 107: 224-255.
43. Zhibin Zhao, Shuming Wu, Baijie Qiao, Shibin Wang, and Xuefeng Chen, “Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis,” IEEE Transactions on Industrial Electronics, 2019, 66(3): 2143-2153.
44. Zhibin Zhao, Baijie Qiao, Shibin Wang, Zhixian Shen, and Xuefeng Chen, “A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis,” Journal of Sound and Vibration, 2019, 446: 429-452.

二、中文论文

1. 郭畅，赵志斌*，张兴武，刘一龙，陈雪峰. 因果启发的深度域泛化旋转机械故障诊断[J]. 振动, 测试与诊断, 2025, 45(1):154-160.
2. 谭鲲鹏，唐甲锋，赵志斌*，王晨希，张兴武，何卫锋，陈雪峰. 基于视觉大模型的激光粉末床熔融铺粉缺陷检测[J]. 中国激光, 2024, 10: 1002319.
3. 翟智， 王福金， 邸一， 马珮羽， 赵志斌*， 陈雪峰. 基于分层对齐迁移学习的锂离子电池容量估计[J]. 储能科学与技术, 2023, 12(4): 1223.
4. 赵志斌, 王晨希, 张兴武, 陈雪峰，李应红. 激光粉末床熔融增材制造过程智能监控研究进展与挑战[J]. 机械工程学报, 2023, 59(19): 253-276.