D. Mandelli, C. Wang, V. Agarwal, L. Lin, K. A. Manjunatha
Reliability Modeling in a Predictive Maintenance Context: A Margin-Based Approach
Reliability Engineering & System Safety, Volume 243 (2024). https://doi.org/10.1016/j.ress.2023.109861
D. Mandelli, C. Wang, C. M. Godbole, V. Agarwal, M. Movassat, B. Mori, D. Liang, E. Nur, A. Birjandi, B Lobo, N. Jacome
Condition-Based Maintenance of a Circulating Water System of a Canadian Nuclear Power Plant using Machine Learning and Statistical Tools
in Proceedings of 17th International Conference on Probabilistic Safety Assessment and Management & Asian Symposium on Risk Assessment and Management (PSAM17&ASRAM2024), Japan (2024)
D. Mandelli, C. Wang, C. M. Godbole, V. Agarwal, M. Movassat, B. Mori, D. Liang, E. Nur, A. Birjandi, B Lobo, N. Jacome
From Data to Knowledge: A Graph-Based Reliability Approach to Assess System Health
in Proceedings of 17th International Conference on Probabilistic Safety Assessment and Management & Asian Symposium on Risk Assessment and Management (PSAM17&ASRAM2024), Japan (2024)
M. D'Onorio, T. Glingler, M. Molinari, P. Maccari, F. Mascari, D. Mandelli, A. Alfonsi, G. Caruso
Nuclear safety Enhanced: A Deep Dive Into Current And Future RAVEN Applications
Nuclear Engineering and Design, Volume 427 (2024). https://doi.org/10.1016/j.nucengdes.2024.113422
D. Mandelli, C. Wang, V. Agarwal, C. Godbole, and J. Cogliati
Model-Based Approaches to Generating Knowledge from Data in a Plant Reliability Context
in Proceedings of Pacific Basin Nuclear Conference 2024 (PBNC) (2024)
C. Wang, D. Mandelli, and J. Cogliati
Technical Language Processing of Nuclear Power Plants Equipment Reliability Data
Energies 2024, 17(7), 1785 (2024). https://doi.org/10.3390/en17071785
D. Mandelli, A. Alfonsi, C. Wang, D. Maljovec, C. Rabiti
Dynamic PRA: An Overview of Methods and Applications Using RAVEN
Chapter of Risk-Informed Methods and Applications in Nuclear and Energy Engineering, Academic Press (2024)
D. Mandelli, C. Wang, J. Cogliati, V. Agarwal, and C. M. Godbole
A Knowledge Graph Approach to Analyze Systems and Assets Health
in Proceedings of 2024 International Congress on Advances in Nuclear Power Plants (ICAPP) (2024)
D. Mandelli and A. Sowder
Build-To-Replace Strategy to Reduce the O&M Costs of Advanced Reactors
in Proceedings of 2024 International Congress on Advances in Nuclear Power Plants (ICAPP) (2024)
D. Mandelli, A. Al Rashdan, C. Wang, S. St. Germain, S. Lawrence, N. Mapes, J. Cogliati
Methods and Tools to Assess Robustness of Nuclear Plant Outages
in Proceedings of 2024 International Congress on Advances in Nuclear Power Plants (ICAPP) (2024)
D. Mandelli, R. Gonzales, C. Wang, M. Abdo, Z. Welker, P. Balestra, S. Qin, V. Petrov
A Causal Approach to Model Validation and Calibration
Proceedings of the ASME 2023 - International Mechanical Engineering Congress and Exposition IMECE2023 (2023)
R. Gonzales, D. Mandelli C. Wang, M. Abdo, Z. Welker, P. Balestra, S. Qin, V. Petrov
Verification, Validation, And Calibration Through a Causal Lens
ASME Verification, Validation, and Uncertainty Quantification Symposium (2024)
D. Mandelli, R. Gonzales, C. Wang, M. Abdo
From Machine Learning to Machine Reasoning: A Model-Based System Engineering Perspective
selected presentation at the Third Annual Digital Engineering Conference (DICE), Idaho Falls (2024)
D. Mandelli, R. Gonzales, C. Wang, M. Abdo, Z. Welker, P. Balestra, S. Qin, V. Petrov
Causal Inference as a Bridge Between Simulation Models and Observed Phenomena
invited presentation at the "Scientific Machine Learning for Nuclear Engineering Applications" workshop as part of the PHYSOR-2024 conference, San Francisco (2024)