A Multistate Physics Model of Component Degradation Based on Stochastic Petri Nets and Simulation. - Yan-Fu Li; Enrico Zio; Yan-Hui Lin (IEEE Trans. Reliab., 2012)

Fuzzy Reliability Assessment of Systems With Multiple-Dependent Competing Degradation Processes. - Yan-Hui Lin; Yan-Fu Li; Enrico Zio (IEEE Trans. Fuzzy Syst., 2015)

Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment. - Yan-Hui Lin; Yanfu Li; Enrico Zio (IEEE Trans. Reliab., 2015)

Component Importance Measures for Components With Multiple Dependent Competing Degradation Processes and Subject to Maintenance. - Yan-Hui Lin; Yanfu Li; Enrico Zio (IEEE Trans. Reliab., 2016)

A Reliability Assessment Framework for Systems With Degradation Dependency by Combining Binary Decision Diagrams and Monte Carlo Simulation. - Yan-Hui Lin; Yanfu Li; Enrico Zio (IEEE Trans. Syst. Man Cybern. Syst., 2016)

A colored generalized stochastic Petri net simulation model for service reliability evaluation of active-active cloud data center based on IT infrastructure. - Yue Liu; Xiaoyang Li 001; Yan-Hui Lin; Rui Kang; Lianghua Xiao (ICSRS, 2017)

Uncertainty importance measures of dependent transition rates for transient and steady state probabilities. - Yan-Hui Lin; Richard C. M. Yam (Reliab. Eng. Syst. Saf., 2017)

A State Transfer Scheduling Optimization Framework for Standby Systems. - Yan-Hui Lin; Xiaoyang Li 001; Rui Kang (IEEE Trans. Reliab., 2017)

A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems. - Yan-Hui Lin; Yan-Fu Li; Enrico Zio (Reliab. Eng. Syst. Saf., 2018)

A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependence Based on PDMPs. - Yan-Hui Lin; Yan-Fu Li; Enrico Zio (IEEE Trans. Ind. Informatics, 2018)

A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers. - Xiao-Yang Li 001; Yue Liu; Yan-Hui Lin; Lianghua Xiao; Enrico Zio; Rui Kang (Reliab. Eng. Syst. Saf., 2021)

Adaptive Kernel Auxiliary Particle Filter Method for Degradation State Estimation. - Yan-Hui Lin; Xin-Lei Jiao (Reliab. Eng. Syst. Saf., 2021)

Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process. - Sen-Ju Zhang; Rui Kang; Yan-Hui Lin (Reliab. Eng. Syst. Saf., 2021)

Dynamic Mode Transfer Scheduling for Degrading Standby System Considering Load-Sharing Characteristic. - Yan-Hui Lin; Sheng-Jia Ruan; Fei Tao 001; Yang Hu 003 (IEEE Syst. J., 2021)

Online Estimation of Degradation State Under Random Change of Mode. - Yan-Hui Lin; Enrico Zio (IEEE Trans. Instrum. Meas., 2021)

Remaining useful life prediction for complex systems considering varying future operational conditions. - Liang Chang; Yan-Hui Lin; Enrico Zio (Qual. Reliab. Eng. Int., 2022)

An Online Transfer Learning Framework for Time-Varying Distribution Data Prediction. - Yan-Hui Lin; Liang Chang (IEEE Trans. Ind. Electron., 2022)

A Bayesian Deep Learning Framework for RUL Prediction Incorporating Uncertainty Quantification and Calibration. - Yan-Hui Lin; Gang-Hui Li (IEEE Trans. Ind. Informatics, 2022)

An Unsupervised Noisy Sample Detection Method for Deep Learning-Based Health Status Prediction. - Yan-Hui Lin; Liang Chang (IEEE Trans. Instrum. Meas., 2022)

A Semisupervised Deep Hybrid Multitask Model for RUL Prediction. - Yan-Hui Lin; Lu-Xin Guan; Liang Chang; Enrico Zio (IEEE Trans. Instrum. Meas., 2023)

Ensemble Remaining Useful Life Prediction for Lithium-Ion Batteries With the Fusion of Historical and Real-Time Degradation Data. - Yan-Hui Lin; Ling-Ling Tian; Ze-Qi Ding (IEEE Trans. Veh. Technol., 2023)

Similarity based remaining useful life prediction based on Gaussian Process with active learning. - Yan-Hui Lin; Ze-Qi Ding; Yan-Fu Li (Reliab. Eng. Syst. Saf., 2023)

Ring-Based Decentralized Federated Learning with Cosine Similarity Grouping. - Wu-Chun Chung; Yan-Hui Lin; Jau-Ai Luo (ICCE-Taiwan, 2024)

Enhanced stochastic recurrent hybrid model for RUL Predictions via Semi-supervised learning. - Yan-Hui Lin; Liang Chang; Lu-Xin Guan (Reliab. Eng. Syst. Saf., 2024)

An Uncertainty Quantification and Calibration Framework for RUL Prediction and Accuracy Improvement. - Ze-Qi Ding; Qiang Qin; Yi-Fan Zhang; Yan-Hui Lin (IEEE Trans. Instrum. Meas., 2024)

Reliability Modeling and Parameter Estimation for High-Speed Train Wheels Subject to Multi-Dimensional Degradation Processes Considering Mutual Dependency. - Tianli Men; Bin Liu 025; Yan-Fu Li; Yan-Hui Lin; Ying Zhang 069 (IEEE Trans. Reliab., 2024)

Uncertainty-Aware Fault Diagnosis Under Calibration. - Yan-Hui Lin; Gang-Hui Li (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A novel method of detection of noisy samples in high-dimensional sequential data considering both attribute and label noise. - Liang Chang; Lu-Xin Guan; Enrico Zio; Yan-Hui Lin (Comput. Ind. Eng., 2025)

Few-shot remaining useful life prediction based on Bayesian meta-learning with predictive uncertainty calibration. - Liang Chang; Yan-Hui Lin (Eng. Appl. Artif. Intell., 2025)