Theo dõi
Ming Yang
Ming Yang
Assistant Professor of Safety and Security Science, TU Delft
Email được xác minh tại tudelft.nl - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Arctic shipping accident scenario analysis using Bayesian Network approach
M Afenyo, F Khan, B Veitch, M Yang
Ocean Engineering 133, 224-230, 2017
2012017
An operational risk analysis tool to analyze marine transportation in Arctic waters
B Khan, F Khan, B Veitch, M Yang
Reliability Engineering and System Safety 169, 485-502, 2017
1762017
Prioritization of environmental issues in offshore oil and gas operations: A hybrid approach using fuzzy inference system and fuzzy analytic hierarchy process
M Yang, F Khan, R Sadiq
Process Safety and Environmental Protection 89 (1), 22-34, 2011
1072011
Precursor-based hierarchical Bayesian approach for rare event frequency estimation: A Case of Oil Spill Accidents
M Yang, F Khan, L Lye
Process Safety and Environmental Protection 91 (5), 333-342, 2013
1032013
Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network
A Zinetullina, M Yang, N Khakzad, B Golman, X Li
Reliability Engineering and System Safety 205, 107232, 2021
982021
Gas leakage detection using spatial and temporal neural network model
A Kopbayev, F Khan, M Yang, SZ Halim
Process Safety and Environmental Protection 160, 968-975, 2022
882022
A risk-based approach to determination of optimal inspection intervals for buried oil pipelines
R Abubakirov, M Yang, N Khakzad
Process Safety and Environmental Protection 134, 95-107, 2020
882020
Risk assessment of process systems by mapping fault tree into artificial neural network
M Sarbayev, M Yang, H Wang
Journal of Loss Prevention in the Process Industries 60, 203-212, 2019
872019
Dynamic Failure Analysis of Process Systems using Neural Networks
SA Adedigba, F Khan, M Yang
Process Safety and Environmental Protection 111, 529-543, 2017
862017
A Dynamic Bayesian Network-based approach to Resilience Assessment of Engineered Systems
Q Tong, M Yang, A Zinetullina
Journal of Loss Prevention in the Process Industries 65, 104152, 2020
852020
Review of risk-based design for ice-class ships
P Kujala, F Goerlandt, B Way, D Smith, M Yang, F Khan, B Veitch
Marine Structures 63, 181-195, 2019
782019
Kick control reliability analysis of managed pressure drilling operation
I Sule, F Khan, S Butt, M Yang
Journal of Loss Prevention in the Process Industries 52, 7-20, 2018
762018
Risk assessment of rare events
M Yang, F Khan, L Lye, P Amyotte
Process Safety and Environmental Protection 98, 102-108, 2015
762015
Technologically Enhanced Naturally Occurring Radioactive Materials in Oil and Gas Production: A Silent Killer
K ALNabhani, F Khan, M Yang
Process Safety and Environmental Protection 99, 237-247, 2015
742015
Operational risk assessment: a case of Bhopal disaster
M Yang, F Khan, P Amyotte
Process Safety and Environmental Protection 97, 70-79, 2015
742015
A rough set-based quality function deployment (QFD) approach for environmental performance evaluation: a case of offshore oil and gas operations
M Yang, F Khan, R Sadiq, P Amyotte
Journal of Cleaner Production 19 (13), 1513-1526, 2011
672011
Failure analysis of the offshore process component considering causation dependence
SM Deyab, M Taleb-Berrouane, F Khan, M Yang
Process Safety and Environmental Protection 113, 220-232, 2018
642018
Dynamic safety analysis of process systems using nonlinear and non-sequential accident model
S Adedigba, F Khan, M Yang
Chemical Engineering Research and Design 111, 169-183, 2016
642016
Dynamic failure analysis of process systems using principal component analysis and Bayesian network
SA Adedigba, F Khan, M Yang
Industrial & Engineering Chemistry Research 56 (8), 2094-2106, 2017
632017
A risk-based approach to produced water management in offshore oil and gas operations
A Kabyl, M Yang, R Abbassi, S Li
Process Safety and Environmental Protection 139, 341-361, 2020
592020
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