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Nima Khakzad
Nima Khakzad
Toronto Metropolitan University (Ryerson University)
在 ryerson.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches
N Khakzad, F Khan, P Amyotte
Reliability Engineering & System Safety 96 (8), 925-932, 2011
8352011
Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network
N Khakzad, F Khan, P Amyotte
Process Safety and Environmental Protection 91 (1-2), 46-53, 2013
6202013
Quantitative risk analysis of offshore drilling operations: A Bayesian approach
N Khakzad, F Khan, P Amyotte
Safety Science 57, 108-117, 2013
4402013
Dynamic risk analysis using bow-tie approach
N Khakzad, F Khan, P Amyotte
Reliability Engineering & System Safety 104, 36-44, 2012
4162012
Application of dynamic Bayesian network to risk analysis of domino effects in chemical infrastructures
N Khakzad
Reliability Engineering & System Safety 138, 263-272, 2015
3042015
Dynamic safety risk analysis of offshore drilling
M Abimbola, F Khan, N Khakzad
Journal of Loss Prevention in the Process Industries 30, 74-85, 2014
2682014
Domino effect analysis using Bayesian networks
N Khakzad, F Khan, P Amyotte, V Cozzani
Risk Analysis 33 (2), 292-306, 2013
2642013
Dynamic safety assessment of natural gas stations using Bayesian network
E Zarei, A Azadeh, N Khakzad, MM Aliabadi, I Mohammadfam
Journal of Hazardous Materials 321, 830-840, 2017
2492017
Dust explosions: A threat to the process industries
Z Yuan, N Khakzad, F Khan, P Amyotte
Process Safety and Environmental Protection 98, 57-71, 2015
2292015
Safety and risk analysis of managed pressure drilling operation using Bayesian network
M Abimbola, F Khan, N Khakzad, S Butt
Safety Science 76, 133-144, 2015
2112015
Safety analysis of process systems using Fuzzy Bayesian Network (FBN)
E Zarei, N Khakzad, V Cozzani, G Reniers
Journal of Loss Prevention in the Process Industries 57, 7-16, 2019
1962019
The role of human error in risk analysis: application to pre and post-maintenance procedures of process facilities
A Noroozi, N Khakzad, F Khan, S MacKinnon, R Abbassi
Reliability Engineering & System Safety 119, 251-258, 2013
1692013
On the application of near accident data to risk analysis of major accidents
N Khakzad, F Khan, N Paltrinieri
Reliability Engineering & System Safety 126, 116-125, 2014
1632014
Validity and validation of safety-related quantitative risk analysis: A review
F Goerlandt, N Khakzad, G Reniers
Safety Science 99 (Part B), 127-139, 2017
1612017
Risk-based design of process systems using discrete-time Bayesian networks
N Khakzad, F Khan, P Amyotte
Reliability Engineering & System Safety 109, 5-17, 2013
1582013
Using graph theory to analyze the vulnerability of process plants in the context of cascading effects
N Khakzad, G Reniers
Reliability Engineering & System Safety 143, 63–73, 2015
1352015
Integrating safety and security resources to protect chemical industrial parks from man-made domino effects: A dynamic graph approach
C Chen, G Reniers, N Khakzad
Reliability Engineering & System Safety 191, 106470, 2019
1282019
Application of dynamic Bayesian network to performance assessment of fire protection systems during domino effects
N Khakzad, G Landucci, G Reniers
Reliability Engineering & System Safety 167, 232-247, 2017
1272017
Risk analysis of dust explosion scenarios using Bayesian networks
Z Yuan, N Khakzad, F Khan, P Amyotte
Risk Analysis 35 (2), 278-291, 2015
1252015
Forest Fire Induced Natech Risk Assessment: A Survey of Geospatial Technologies
M Naderpour, HM Rizeei, N Khakzad, B Pradhan
Reliability Engineering & System Safety 191, 106558, 2019
1192019
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