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Ming Yang
Ming Yang
Assistant Professor of Safety and Security Science, TU Delft
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
Arctic shipping accident scenario analysis using Bayesian Network approach
M Afenyo, F Khan, B Veitch, M Yang
Ocean Engineering 133, 224-230, 2017
1702017
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
1572017
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
1042011
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
992013
Dynamic Failure Analysis of Process Systems using Neural Networks
SA Adedigba, F Khan, M Yang
Process Safety and Environmental Protection 111, 529-543, 2017
782017
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
752021
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
712019
Risk assessment of rare events
M Yang, F Khan, L Lye, P Amyotte
Process Safety and Environmental Protection 98, 102-108, 2015
712015
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
702020
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
702020
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
692018
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
672019
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
662011
Operational risk assessment: a case of Bhopal disaster
M Yang, F Khan, P Amyotte
Process Safety and Environmental Protection 97, 70-79, 2015
642015
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
622016
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
602017
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
602015
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
592018
Process Accident Model Considering Dependency Among Contributory Factors
SA Adedigba, F Khan, M Yang
Process Safety and Environmental Protection 116, 316-323, 2016
552016
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
532022
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