T. Zhou, L. Zhang, J. Hu, M. Modarres and E.L. Droguett. “A Critical Review and Benchmark Study of Dependency Modeling for Seismic Probabilistic Risk Assessment in the Nuclear Power Industry,” Reliability Engineering & System Safety, 229 (2024): 110009.
Y. Xiong, S. Liu, L. Hou and T. Zhou*. “Magnetic Flux Leakage Defect Size Estimation Method based on Physics-Informed Neural Network,” Philosophical Transactions of the Royal Society A (2024): 382(2264), 20220387.
T. Zhou, L. Zhang, T. Han, E.L. Droguett, A. Mosleh, and Felix T.S. Chan "An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications," Reliability Engineering & System Safety, 108865 (2023).
T. Zhou, S. Jiang, T. Han, S.P. Zhu and Y. Cai. "A Physically Consistent Framework for Fatigue Life Prediction using Probabilistic Physics-Informed Neural Network," International Journal of Fatigue, 107234 (2023).
T. Zhou, X. Zhang, E.L. Droguett and A. Mosleh. “A Generic Physics-Informed Neural Network-Based Framework for Reliability Assessment of Multi-State Systems,” Reliability Engineering & System Safety, 108835 (2023).
E.L. Droguett, T. Zhou and D. Wang. "Editorial of Special Issue: Advanced Deep Learning Methods in Risk and Reliability Engineering," Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 236(4), 527-528 (2022).
T. Zhou, E.L. Droguett and A. Mosleh. “Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment,” Applied Soft Computing, 126, 109217 (2022).
T. Zhou, T. Han and E.L. Droguett. “Towards Trustworthy Machine Fault Diagnosis: A Probabilistic Bayesian Deep Learning Framework,” Reliability Engineering & System Safety, 224 (2022), 108525.
T. Han, T. Zhou, Y. Xiang and D. Jiang, "Cross-Machine Intelligent Fault Diagnosis of Gearbox based on Deep Learning and Parameter Transfer," Structural Control and Health Monitoring (2021), e2898.
J. Caceres, D. Gonzalez, T. Zhou* and E.L. Droguett. “A Probabilistic Bayesian Recurrent Neural Network for Remaining Useful Life Prognostics Considering Epistemic and Aleatory Uncertainties,” Structural Control and Health Monitoring (2021).
T. Zhou, M. Modarres and E.L. Droguett. “Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment: A Comprehensive Survey,” Reliability Engineering & System Safety, 213 (2021), 107782.
Z. Chi, T. Zhou, S. Huang and Y. Li. "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 (2020): 1748006X20929158.
T. Zhou, E.L. Droguett and M. Modarres. “A Common Cause Failure Model for Components Under Age-Related Degradation,” Reliability Engineering & System Safety, 195 (2020), 106699.
T. Zhou, M. Modarres and E.L. Droguett. “Multi-Unit Risk Aggregation with Consideration of Uncertainty and Bias in Risk Metrics,” Reliability Engineering & System Safety, 188 (2019), 473-482.
T. Zhou, M. Modarres and E.L. Droguett. “An Improved Multi-Unit Nuclear Plant Seismic Probabilistic Risk Assessment Approach,” Reliability Engineering & System Safety, 171 (2018), 34-47.
M. Modarres, T. Zhou and M. Massoud. “Advances in Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment,” Reliability Engineering & System Safety, 157 (2017), 87- 100.
Q. Xu, H. Liu, Y. Ye, L. Zhang and T. Zhou. “Knowledge and Data Fusion-driven for Offshore Wind Turbine Gearbox Fault Diagnosis,”33rd European Safety and Reliability Conference (ESREL2023), September 3-7, 2023, Southampton, United Kingdom.
T. Zhou, E.L. Droguett and M. Modarres. "Analysis of Common Cause Failures with Effects of Degradation and Maintenance,"2021 International Topical Meeting on Probabilistic Safety Assessment (PSA2021), August 28-September 3, 2021, Columbus, Ohio.
T. Zhou, E.L. Droguett and M. Modarres. “A Physics-of-Failure Approach for Common Cause Failures Subject to Age-Related Degradation," Proceedings of the 14th Probabilistic Safety Assessment & Management conference (PSAM 14), September 16-21, 2018, Los Angeles, CA.
T. Zhou, M. Modarres and E.L. Droguett. “A Study of Multi-Unit Seismic Probabilistic Risk Assessment," Proceedings of the 14th Probabilistic Safety Assessment & Management conference (PSAM 14), September 16-21, 2018, Los Angeles, CA.
Y. Nakanoa, S. Takedaa, T. Kitadaa, T. Zhou and M. Modarres. “Multi-Unit Dependency Modeling Based on Reported Japanese Nuclear Power Plant Incidents,” Proceedings of the 14th Probabilistic Safety Assessment & Management conference (PSAM 14), September 16-21, 2018, Los Angeles, CA.
T. Zhou, M. Modarres and E.L. Droguett. “A Review of Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment Research,” The 26th International Conference on Nuclear Engineering (ICONE), July 22-26, 2018, London, England.
T. Zhou, M. Modarres and E.L. Droguett. “Issues in Dependency Modeling in Multi- Unit Seismic PRA,” 2017 International Topical Meeting on Probabilistic Safety Assessment (PSA2017), September 24-28, 2017, Pittsburgh, PA.
T. Zhou and M. Modarres. “Parametric Estimation of Multi-Unit Dependencies,” 2017 International Topical Meeting on Probabilistic Safety Assessment (PSA2017), September 24-28, 2017, Pittsburgh, PA.
T. Zhou, E.L. Droguett and M. Modarres. “A Hybrid Probabilistic Physics of Failure Pattern Recognition based Approach for Assessment of Multi-unit Causal Dependencies,” The 24th International Conference on Nuclear Engineering (ICONE), June 26-30, 2016, Charlotte, NC.