Condition Monitoring & Fault Detection
1、J. Liu, D. Peng, H. Wang, C. Liu, Y. F. Li, M. Xie. 2026. AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis. IEEE Transactions on Cybernetics, (in press).
2、Z. Wang, J. Xuan, T. Shi, Y. F. Li. 2025. Multi-label domain adversarial reinforcement learning for unsupervised compound fault recognition. Reliability Engineering & System Safety, 254, 110638.
3、H. Wang, C. Li, Y. F. Li*. 2024. Large-Scale Visual Language Model Boosted by Contrast Domain Adaptation for Intelligent Industrial Visual Monitoring. IEEE Transactions on Industrial Informatics, 20(12), 14114-14123.
4、M. Qian#, Y. F. Li*#, H. Wu. 2024. Deep Imbalanced Separation Network: A Holistic Fault Detection Framework Considering Class-Imbalance and Partial Label-Unknown. IEEE Transactions on Industrial Informatics, 20(11), 13026-13035.
5、H. Wang, Y. F. Li*, T. Men, L. Li. 2024. Physically Interpretable Wavelet-Guided Networks With Dynamic Frequency Decomposition for Machine Intelligence Fault Prediction. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(8), 4863-4875.
6、H. Wang, Y. F. Li*, T. Men. 2024. Wavelet Integrated CNN With Dynamic Frequency Aggregation for High-Speed Train Wheel Wear Prediction. IEEE Transactions on Intelligent Transportation Systems, 25(8), 8960-8971.
7、H. Wang, C. Li, Y. F. Li*, F. Tsung. 2024. An Intelligent Industrial Visual Monitoring and Maintenance Framework Empowered by Large-Scale Visual and Language Models. IEEE Transactions on Industrial Cyber-Physical Systems, 2, 166-175.
8、H. Wang, Y. F. Li*. 2024. Wavelet-powered hierarchical frequency filtering framework for autonomous vehicle sensors fault diagnosis and correction under open environments. Engineering Applications of Artificial Intelligence, 136, 108848.
9、Y. Zhang, K. Gao, T. Ma, H. Wang, Y. F. Li. 2024. Intelligent recognition of structural health state of EV lithium-ion Battery using transfer learning based on X-ray computed tomography. Reliability Engineering & System Safety, 251, 110374.
10、J. Wu, Y. Li, L. Jia, G. An, Y. F. Li, J. Antoni, G. Xin. 2024. Semi-supervised fault diagnosis of wheelset bearings in high-speed trains using autocorrelation and improved flow Gaussian mixture model. Engineering Applications of Artificial Intelligence, 132, 107861.
11、Y. Zhang, Y. F. Li*, M. Zhang, H. Wang. 2024. A novel health indicator by dominant invariant subspace on Grassmann manifold for state of health assessment of lithium-ion battery. Engineering Applications of Artificial Intelligence, 130, 107698.
12、H. Wang, Y. F. Li*, J. Ren. 2024. Machine learning for fault diagnosis of high-speed train traction systems: A review. Frontiers of Engineering Management, 11(1), 62-78.
13、H. Wang, M. Sun*, Y. F. Li*. 2024. A brain-inspired spiking network framework based on multi-time-step self-attention for lithium-ion batteries capacity prediction. IEEE Transactions on Consumer Electronics, 70(1), 3008-3017.
14、H. Wu, Y. F. Li*. 2024. A multi-sensor fusion-based prognostic model for systems with partially observable failure modes. IISE Transactions, 56(6), 624-637.
15、G. Xin, Q. Zhong, Y. Jin, Z. Li, Y. Chen, Y. F. Li, J. Antoni. 2024. Autonomous bearing fault diagnosis based on fault-induced envelope spectrum and moving peaks-over-threshold approach. IEEE Transactions on Instrumentation and Measurement, 73, 1-12.
16、H. Wang, Y. F. Li*, Y. Zhang. 2023. Bioinspired spiking spatiotemporal attention framework for lithium-ion batteries state-of-health estimation. Renewable and Sustainable Energy Reviews, 188, 113728.
17、H. Wu, Y. F. Li*. 2024. Adaptive Graph-Based Support Vector Data Description for Weakly-Supervised Anomaly Detection. IEEE Transactions on Automation Science and Engineering, 21(3), 3863-3872.
18、H. Wang, Y. F. Li*. 2023. Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments. Reliability Engineering & System Safety, 233, 109102.
19、H. Wu, Y. F. Li*. 2023. Clustering spatially correlated functional data with multiple scalar covariates. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 7074-7088.
20、H. Wang, T. Men, Y. F. Li*. 2022. Transformer for high-speed train wheel wear prediction with multiplex local-global temporal fusion. IEEE Transactions on Instrumentation and Measurement, 71, 1-12.
21、Y. Zhang, Y. F. Li*. 2022. Prognostics and health management of Lithium-ion battery using deep learning methods: A review. Renewable and Sustainable Energy Reviews, 161, 112282. (ESI highly cited paper top 1%)
22、T. Han, Y. F. Li*. 2022. Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles. Reliability Engineering & System Safety, 226, 108648. (ESI highly cited paper top 1%)
23、M. Qian, Y. F. Li*. 2022. A weakly supervised learning-based oversampling framework for class-imbalanced fault diagnosis. IEEE Transactions on Reliability, 71(1), 429-442.
24、M. Qian, Y. F. Li*, T. Han. 2021. Positive-unlabeled learning-based hybrid deep network for intelligent fault detection. IEEE Transactions on Industrial Informatics, 18(7), 4510-4519.
25、T. Han, Y. F. Li*, M. Qian. 2021. A hybrid generalization network for intelligent fault diagnosis of rotating machinery under unseen working conditions. IEEE Transactions on Instrumentation and Measurement, 70, 3520011. (ESI highly cited paper top 1%)
26、H. Wu, C. Zhang, Y. F. Li*. 2021. Monitoring heterogeneous multivariate profiles based on heterogeneous graphical model. Technometrics, 64(2), 210-223.
27、Z. Chi, T. Zhou, S. Huang, Y. F. Li*. 2020. A data-driven approach for the health prognosis of high-speed train wheels. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 234(6), 735-747.
28、H. Meng, Y. F. Li*. 2019. A review on prognostics and health management (PHM) methods of lithium-ion batteries. Renewable and Sustainable Energy Reviews, 116, 109405. (ESI highly cited paper top 1%)
29、R. Ak, Y. F. Li, V. Vitelli, E. Zio. 2018. Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load. International Journal of Electrical Power & Energy Systems, 95, 213-226.
System Reliability Modeling and Assessment
30、D. Li, R. Lin, Z. Wang, Y. F. Li. 2026. ChatGPT-like large language models for testing and verification of autonomous intelligent systems: A systematic review. Journal of Reliability Science and Engineering, 2(2).
31、C. Jiang, C. Peng, W. Zhao, J. Wang, Y. F. Li. 2026. Reliability evaluation of highly reliable multi-state systems under dependent degradation using adaptive moving-threshold importance sampling. Reliability Engineering & System Safety, 275, 112733.
32、H. Zhang, C. Zhang, Y. Wang, Y. F. Li. 2026. Service reliability of intelligent computing cluster systems for large language models. Reliability Engineering & System Safety, 272, 112484.
33、C. Jiang, M. Sun, L. Wang, Z. Wang, Y. F. Li. 2026. A recursive algorithm for reliability evaluation of multi-state hierarchical systems with stochastic dependent components. Reliability Engineering & System Safety, 266, 111653.
34、B. Han, M. Sun, Y. Zhu, V. Sciancalepore, M. A. Habibi, Y. Hu, A. Schmeink, Y. F. Li, H. D. Schotten. 2026. DMH-HARQ: Reliable and Open Latency-Constrained Wireless Transport Network. IEEE Transactions on Networking, 34, 2805-2817.
35、L. Wang, Y. F. Li, Y. Xue. 2026. Dynamic Assessment of Mission Reliability for Autonomous Vehicles Considering Mission Criticality and Environmental Dependence. IEEE Transactions on Industrial Informatics, 22(2), 1050-1061.
36、L. Wang, W. Zhao, B. Liu, Y. F. Li. 2025. Reliability Assessment for Partially Monitored Systems Based on Degradation Hidden Markov Models With Time-Varying Parameters. IEEE Transactions on Reliability, 74(4), 5272-5286.
37、W. Zhao, Y. F. Li, W. Zheng. 2025. A nonlinear mixed-effects functional regression model based on variable selection. Journal of Quality Technology, 57(3), 220-235.
38、J. Lin, T. Lan, B. Zhang, K. Lin, D. Miao, H. He, J. Ye, C. Zhang, Y. F. Li. 2025. Multi-Scenario Cellular KPI Prediction Based on Spatiotemporal Graph Neural Network. IEEE Transactions on Automation Science and Engineering, 22, 5131-5142.
39、Y. F. Li*, W. Zhao, C. Zhang, J. Ye, H. He. 2024. A study on the prediction of service reliability of wireless telecommunication system via distribution regression. Reliability Engineering & System Safety, 250, 110291.
40、T. Men, B. Liu, Y. F. Li*, Y. H. Lin, Y. Zhang. 2024. Reliability modeling and parameter estimation for high-speed train wheels subject to multi-dimensional degradation processes considering mutual dependency. IEEE Transactions on Reliability, 73(2), 1325-1340.
41、S. Tang, Z. Zhang, Y. Zhang, J. Zhou, Y. Guo, S. Liu, S. Guo, Y. F. Li, L. Ma, Y. Xue, Y. Liu. 2023. A survey on automated driving system testing: Landscapes and trends. ACM Transactions on Software Engineering and Methodology, 32(5), 1-62.
42、F. Wang, D. Araújo, Y. F. Li*. 2023. Reliability assessment of autonomous vehicles based on the safety control structure. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 237(2), 389-404.
43、L. Sun, Y. F. Li*, E. Zio. 2022. Comparison of the HAZOP, FMEA, FRAM, and STPA methods for the hazard analysis of automatic emergency brake systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 8(3), 031104.
44、Y. F. Li*, C. Jia. 2021. An overview of the reliability metrics for power grids and telecommunication networks. Frontiers of Engineering Management, 8(4), 531-544.
45、S. Jiang, Y. F. Li*. 2021. Dynamic reliability assessment of multi-cracked structure under fatigue loading via multi-state physics model. Reliability Engineering & System Safety, 213, 107664.
46、Z. Chi, R. Chen, S. Huang, Y. F. Li*, B. Zhou, W. Zhang. 2020. Multi-state system modeling and reliability assessment for groups of highspeed train wheels. Reliability Engineering & System Safety, 202, 107026.
47、S. Jiang, Y. F. Li. 2020. Time-variant fatigue reliability evaluation of riveted lap joint under stationary random loading. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 234(4), 567-578.
48、E. M. Larsen, Y. Ding, Y. F. Li, E. Zio. 2020. Definitions of generalized multi-performance multi-state k-out-of-n system and its reliability evaluations. Reliability Engineering & System Safety, 199, 105876.
49、S. Wang, Y. F. Li*, Y. Wang. 2018. Hybrid uncertainty model for multi-state systems and linear programming-based approximations for reliability assessment. IISE Transactions, 50(12), 1058-1075. (Featured article)
50、Y. H. Lin, Y. F. Li*, E. Zio. 2018. A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems. Reliability Engineering & System Safety, 174, 1-11.
51、D. Tellbach, Y. F. Li*. 2018. Cyber-attacks on smart meters in household nanogrid: modeling, simulation and analysis. Energies, 11(2), 316.
Reliability / Maintenance Optimization
52、E. A. de S. Fischetti, C. A. V. Cavalcante, V. H. R. Lima, Y. F. Li. 2026. A maintenance policy for two-level inspections in a three-stage failure process subject to external shocks. Computers & Industrial Engineering, 215, 111913.
53、Y. Song, Y. F. Li, C. Zhang, R. Peng, C. A. V. Cavalcante. 2026. Dynamic opportunistic maintenance optimization for multi-state systems with overlapping maintenance time and duration-dependent costs. Reliability Engineering & System Safety, 270, 112198.
54、B. Guan, Z. Li, D. W. Coit, Y. F. Li. 2025. Review of the redundancy allocation problem to optimize system reliability. Engineering Optimization, 57(1), 44-68.
55、H. Zhang, Y. F. Li*, M. Xie, C. Zhang. 2024. Two-stage distributionally robust optimization for joint system design and maintenance scheduling in high-consequence systems. IISE Transactions, 56(8), 793-810.
56、W. Zheng, H. Zhang, Y. F. Li*. 2024. A systematic approach to the high-level maintenance scheduling for high-speed trains in China. IEEE Transactions on Reliability, 73(1), 142-155.
57、C. W. Shao, Y. F. Li*, C. Y. Shen, S. Z. Liu, Z. Yang. 2024. Risk-Sharing Mechanism Design in Non-Cooperative Multi-Defender Stackelberg Defense Resources Allocation Game. IEEE Transactions on Automation Science and Engineering, 21(4), 6653-6665.
58、H. Zhang, Y. F. Li*. 2022. Integrated optimization of test case selection and sequencing for reliability testing of the mainboard of Internet backbone routers. European Journal of Operational Research, 299(1), 183-194.
59、H. Zhang, Y. F. Li*. 2022. Robust optimization on redundancy allocation problems in multi-state and continuous-state series-parallel systems. Reliability Engineering & System Safety, 218, 108134.
60、J. Xu, Z. Liang, Y. F. Li, K. Wang. 2022. Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance. Reliability Engineering & System Safety, 211, 107592.
61、S. Dong, Y. Xue, S. Brinkkemper, Y. F. Li. 2022. Multi-objective integer programming approaches to Next Release Problem—Enhancing exact methods for finding whole pareto front. Information and Software Technology, 147, 106825.
62、C. W. Shao, Y. F. Li*. 2022. Multistage Attack-Defense Graph Game Analysis for Protection Resources Allocation Optimization Against Cyber Attacks Considering Rationality Evolution. Risk Analysis, 42(5), 1086-1105.
63、C. W. Shao, Y. F. Li*. 2021. Optimal defense resources allocation for power system based on bounded rationality game theory analysis. IEEE Transactions on Power Systems, 36(5), 4223-4234.
64、S. Z. Liu, C. W. Shao, Y. F. Li*, Z. Yang. 2021. Game attack-defense graph approach for modeling and analysis of cyberattacks and defenses in local metering system. IEEE Transactions on Automation Science and Engineering, 19(3), 2607-2619.
65、Y. Xue, Y. F. Li*. 2020. Multi-objective integer programming approaches for solving the multicriteria test-suite minimization problem: towards sound and complete solutions of a particular search-based software-engineering problem. ACM Transactions on Software Engineering and Methodology, 29(3), Article 20.
66、S. M. Wang, Y. F. Li*, T. Jia. 2020. Distributionally robust design for redundancy allocation. INFORMS Journal on Computing, 32(3), 620-640.
67、M. Du, Y. F. Li*. 2020. An investigation of new local search strategies in memetic algorithm for redundancy allocation in multi-state series-parallel systems. Reliability Engineering & System Safety, 195, 106703.
68、H. Wu, Y. F. Li*. 2020. Optimal inspection and maintenance for a repairable k-out-of-n: G warm standby system. Reliability Engineering & System Safety, 193, 106669.
69、S. Zhang, M. Y. Du, J. J. Tong, Y. F. Li*. 2019. Multi-objective optimization of maintenance program in multi-unit nuclear power plant sites. Reliability Engineering & System Safety, 188, 532-548.
70、M. X. Sun, Y. F. Li*, E. Zio. 2019. On the optimal redundancy allocation for multi-state series-parallel systems under epistemic uncertainty. Reliability Engineering & System Safety, 192, 106019.
71、H. Long, Z. J. Zhang, M. X. Sun, Y. F. Li. 2018. The data-driven schedule of wind farm power generations and required reserves. Energy, 149, 485-495.
72、Y. H. Lin, Y. F. Li*, E. Zio. 2018. A framework for modeling and optimizing maintenance in systems considering epistemic uncertainty and degradation dependence based on PDMPs. IEEE Transactions on Industrial Informatics, 14(1), 210-220.
Chinese Journal Papers
73、韩特, 李彦夫, 雷亚国, 李乃鹏, 李响. (2022). 融合图标签传播和判别特征增强的工业机器人关键部件半监督故障诊断方法. 机械工程学报, 58(17), 116-124.
74、李彦夫, 韩特. (2022). 基于深度学习的工业装备 PHM 研究综述. 振动, 测试与诊断, 42(5), 835-426.
75、李彦夫, 门天立. 2019. 列车车轮多边形磨损及其噪音研究综述. 振动、测试与诊断, 39(6), 1113-1152.