Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework T Zhou, T Han, EL Droguett Reliability Engineering & System Safety 224, 108525, 2022 | 182 | 2022 |
Advances in Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment M Modarres, T Zhou, M Massoud Reliability Engineering & System Safety 157, 87–100, 2017 | 94 | 2017 |
A physically consistent framework for fatigue life prediction using probabilistic physics-informed neural network T Zhou, S Jiang, T Han, SP Zhu, Y Cai International Journal of Fatigue 166, 107234, 2023 | 88 | 2023 |
A Probabilistic Bayesian Recurrent Neural Network for Remaining Useful Life Prognostics Considering Epistemic and Aleatory Uncertainties J Caceres, D Gonzalez, T Zhou, EL Droguett Structural Control and Health Monitoring, 2021 | 64 | 2021 |
Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment: A Comprehensive Survey T Zhou, M Modarres, EL Droguett Reliability Engineering & System Safety, 107782, 2021 | 55 | 2021 |
An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications T Zhou, L Zhang, T Han, EL Droguett, A Mosleh, FTS Chan Reliability Engineering & System Safety 229, 108865, 2023 | 46 | 2023 |
Cross‐machine intelligent fault diagnosis of gearbox based on deep learning and parameter transfer T Han, T Zhou, Y Xiang, D Jiang Structural Control and Health Monitoring, e2898, 2021 | 46 | 2021 |
An Improved Multi-Unit Nuclear Plant Seismic Probabilistic Risk Assessment Approach T Zhou, M Modarres, EL Droguett Reliability Engineering & System Safety 171, 34-47, 2018 | 44 | 2018 |
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems T Zhou, X Zhang, EL Droguett, A Mosleh Reliability Engineering & System Safety 229, 108835, 2023 | 36 | 2023 |
Physics-informed deep learning: a promising technique for system reliability assessment T Zhou, EL Droguett, A Mosleh Applied Soft Computing 126, 109217, 2022 | 31 | 2022 |
A Common Cause Failure Model for Components under Age-Related Degradation T Zhou, EL Droguett, M Modarres Reliability Engineering & System Safety, 2020 | 21 | 2020 |
A data-driven approach for the health prognosis of high-speed train wheels Z Chi, T Zhou, S Huang, YF Li Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2020 | 20 | 2020 |
Issues in Dependency Modeling in Multi-Unit Seismic PRA T Zhou, M Modarres, EL Droguett Proceedings of the 2017 International Topical Meeting on Probabilistic …, 2017 | 12 | 2017 |
Multi-unit risk aggregation with consideration of uncertainty and bias in risk metrics T Zhou, M Modarres, EL Droguett Reliability Engineering & System Safety 188, 473-482, 2019 | 11 | 2019 |
A Review of Multi-Unit Nuclear Power Plant Probabilistic Risk Assessment Research T Zhou, M Modarres, EL Droguett Proceedings of the 2018 26th International Conference on Nuclear Engineering …, 2018 | 9 | 2018 |
Parametric Estimation of Multi-Unit Dependencies T Zhou, M Modarres Proceedings of the 2017 International Topical Meeting on Probabilistic …, 2017 | 7 | 2017 |
A Hybrid Probabilistic Physics of Failure Pattern Recognition based Approach for Assessment of Multi-unit Causal Dependencies T Zhou, EL Droguett, M Modarres Proceedings of the 2016 24th International Conference on Nuclear Engineering …, 2016 | 6 | 2016 |
A Critical Review and Benchmark Study of Dependency Modeling for Seismic Probabilistic Risk Assessment in the Nuclear Power Industry T Zhou, L Zhang, J Hu, M Modarres, EL Droguett Reliability Engineering & System Safety, 110009, 2024 | 5 | 2024 |
An Overview of the Oil and Gas Pipeline Safety in China H Xu, Y Li, T Zhou, F Lan, L Zhang Journal of Industrial Safety, 100003, 2024 | 4 | 2024 |
Degradation Assessment and Remaining Useful Life Prognostic of Centrifugal Pump using Multi-Sensor Process Monitoring T Zhou, YF Li 2020 Asia-Pacific International Symposium on Advanced Reliability and …, 2020 | 3 | 2020 |