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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
1302017
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
1232017
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
942011
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
842013
Dynamic Failure Analysis of Process Systems using Neural Networks
SA Adedigba, F Khan, M Yang
Process Safety and Environmental Protection 111, 529-543, 2017
672017
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
622018
Risk assessment of rare events
M Yang, F Khan, L Lye, P Amyotte
Process Safety and Environmental Protection 98, 102-108, 2015
612015
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
582011
Operational risk assessment: a case of Bhopal disaster
M Yang, F Khan, P Amyotte
Process Safety and Environmental Protection 97, 70-79, 2015
562015
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
532019
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
532017
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
532016
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
502018
Process Accident Model Considering Dependency Among Contributory Factors
SA Adedigba, F Khan, M Yang
Process Safety and Environmental Protection 116, 316-323, 2016
492016
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
452020
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
442019
Safety challenges in harsh environments: lessons learned
F Khan, S Ahmed, M Yang, J Hashemi, S Caines, D Oldford
Process Safety Progress, 2014
442014
Safety challenges in harsh environments: lessons learned
F Khan, S Ahmed, M Yang, J Hashemi, S Caines, D Oldford
1st CCPS Asia-Pacific Conference on Process Safety, 2013
442013
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
432021
Modeling oil weathering and transport in sea ice
M Afenyo, F Khan, B Veitch, M Yang
Marine Pollution Bulletin 107 (1), 206-215, 2016
402016
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