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Yan-Hui Lin
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2020 – today
- 2024
- [j25]Yan-Hui Lin, Liang Chang, Lu-Xin Guan:
Enhanced stochastic recurrent hybrid model for RUL Predictions via Semi-supervised learning. Reliab. Eng. Syst. Saf. 248: 110167 (2024) - [j24]Ze-Qi Ding, Qiang Qin, Yi-Fan Zhang, Yan-Hui Lin:
An Uncertainty Quantification and Calibration Framework for RUL Prediction and Accuracy Improvement. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j23]Tianli Men, Bin Liu, Yan-Fu Li, Yan-Hui Lin, Ying Zhang:
Reliability Modeling and Parameter Estimation for High-Speed Train Wheels Subject to Multi-Dimensional Degradation Processes Considering Mutual Dependency. IEEE Trans. Reliab. 73(2): 1325-1340 (2024) - [j22]Yan-Hui Lin, Gang-Hui Li:
Uncertainty-Aware Fault Diagnosis Under Calibration. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6469-6481 (2024) - 2023
- [j21]Yan-Hui Lin, Ze-Qi Ding, Yan-Fu Li:
Similarity based remaining useful life prediction based on Gaussian Process with active learning. Reliab. Eng. Syst. Saf. 238: 109461 (2023) - [j20]Yan-Hui Lin, Lu-Xin Guan, Liang Chang, Enrico Zio:
A Semisupervised Deep Hybrid Multitask Model for RUL Prediction. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j19]Yan-Hui Lin, Ling-Ling Tian, Ze-Qi Ding:
Ensemble Remaining Useful Life Prediction for Lithium-Ion Batteries With the Fusion of Historical and Real-Time Degradation Data. IEEE Trans. Veh. Technol. 72(5): 5934-5947 (2023) - 2022
- [j18]Liang Chang, Yan-Hui Lin, Enrico Zio:
Remaining useful life prediction for complex systems considering varying future operational conditions. Qual. Reliab. Eng. Int. 38(1): 516-531 (2022) - [j17]Yan-Hui Lin, Liang Chang:
An Online Transfer Learning Framework for Time-Varying Distribution Data Prediction. IEEE Trans. Ind. Electron. 69(6): 6278-6287 (2022) - [j16]Yan-Hui Lin, Gang-Hui Li:
A Bayesian Deep Learning Framework for RUL Prediction Incorporating Uncertainty Quantification and Calibration. IEEE Trans. Ind. Informatics 18(10): 7274-7284 (2022) - [j15]Yan-Hui Lin, Liang Chang:
An Unsupervised Noisy Sample Detection Method for Deep Learning-Based Health Status Prediction. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - 2021
- [j14]Xiao-Yang Li, Yue Liu, Yan-Hui Lin, Lianghua Xiao, Enrico Zio, Rui Kang:
A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers. Reliab. Eng. Syst. Saf. 207: 107381 (2021) - [j13]Sen-Ju Zhang, Rui Kang, Yan-Hui Lin:
Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process. Reliab. Eng. Syst. Saf. 208: 107440 (2021) - [j12]Yan-Hui Lin, Xin-Lei Jiao:
Adaptive Kernel Auxiliary Particle Filter Method for Degradation State Estimation. Reliab. Eng. Syst. Saf. 211: 107562 (2021) - [j11]Yan-Hui Lin, Sheng-Jia Ruan, Fei Tao, Yang Hu:
Dynamic Mode Transfer Scheduling for Degrading Standby System Considering Load-Sharing Characteristic. IEEE Syst. J. 15(4): 5405-5416 (2021) - [j10]Yan-Hui Lin, Enrico Zio:
Online Estimation of Degradation State Under Random Change of Mode. IEEE Trans. Instrum. Meas. 70: 1-11 (2021)
2010 – 2019
- 2018
- [j9]Yan-Hui Lin, Yan-Fu Li, Enrico Zio:
A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems. Reliab. Eng. Syst. Saf. 174: 1-11 (2018) - [j8]Yan-Hui Lin, Yan-Fu Li, Enrico Zio:
A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependence Based on PDMPs. IEEE Trans. Ind. Informatics 14(1): 210-220 (2018) - 2017
- [j7]Yan-Hui Lin, Richard C. M. Yam:
Uncertainty importance measures of dependent transition rates for transient and steady state probabilities. Reliab. Eng. Syst. Saf. 165: 402-409 (2017) - [j6]Yan-Hui Lin, Xiaoyang Li, Rui Kang:
A State Transfer Scheduling Optimization Framework for Standby Systems. IEEE Trans. Reliab. 66(4): 1101-1109 (2017) - [c1]Yue Liu, Xiaoyang Li, Yan-Hui Lin, Rui Kang, Lianghua Xiao:
A colored generalized stochastic Petri net simulation model for service reliability evaluation of active-active cloud data center based on IT infrastructure. ICSRS 2017: 51-56 - 2016
- [j5]Yan-Hui Lin, Yanfu Li, Enrico Zio:
Component Importance Measures for Components With Multiple Dependent Competing Degradation Processes and Subject to Maintenance. IEEE Trans. Reliab. 65(2): 547-557 (2016) - [j4]Yan-Hui Lin, Yanfu Li, Enrico Zio:
A Reliability Assessment Framework for Systems With Degradation Dependency by Combining Binary Decision Diagrams and Monte Carlo Simulation. IEEE Trans. Syst. Man Cybern. Syst. 46(11): 1556-1564 (2016) - 2015
- [j3]Yan-Hui Lin, Yan-Fu Li, Enrico Zio:
Fuzzy Reliability Assessment of Systems With Multiple-Dependent Competing Degradation Processes. IEEE Trans. Fuzzy Syst. 23(5): 1428-1438 (2015) - [j2]Yan-Hui Lin, Yanfu Li, Enrico Zio:
Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment. IEEE Trans. Reliab. 64(1): 154-166 (2015) - 2012
- [j1]Yan-Fu Li, Enrico Zio, Yan-Hui Lin:
A Multistate Physics Model of Component Degradation Based on Stochastic Petri Nets and Simulation. IEEE Trans. Reliab. 61(4): 921-931 (2012)
Coauthor Index
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