Paul Amyotte
Paul Amyotte
Verified email at dal.ca
Title
Cited by
Cited by
Year
What went wrong?: case histories of process plant disasters and how they could have been avoided
T Kletz, P Amyotte
Butterworth-Heinemann, 2019
5872019
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
5842011
Process plants: A handbook for inherently safer design
TA Kletz, P Amyotte
CRC Press, 2010
4352010
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
4222013
Quantitative risk analysis of offshore drilling operations: A Bayesian approach
N Khakzad, F Khan, P Amyotte
Safety science 57, 108-117, 2013
3192013
Dynamic risk analysis using bow-tie approach
N Khakzad, F Khan, P Amyotte
Reliability Engineering & System Safety 104, 36-44, 2012
2782012
Fault and event tree analyses for process systems risk analysis: uncertainty handling formulations
R Ferdous, F Khan, R Sadiq, P Amyotte, B Veitch
Risk Analysis: An International Journal 31 (1), 86-107, 2011
2092011
Dust explosion causation, prevention and mitigation: An overview
PR Amyotte, RK Eckhoff
Journal of Chemical Health & Safety 17 (1), 15-28, 2010
1982010
Integrated inherent safety index (I2SI): a tool for inherent safety evaluation
FI Khan, PR Amyotte
Process safety progress 23 (2), 136-148, 2004
1952004
I2SI: a comprehensive quantitative tool for inherent safety and cost evaluation
FI Khan, PR Amyotte
Journal of Loss Prevention in the Process Industries 18 (4-6), 310-326, 2005
1862005
How to make inherent safety practice a reality
FI Khan, PR Amyotte
The Canadian Journal of Chemical Engineering 81 (1), 2-16, 2003
1832003
Domino effect analysis using Bayesian networks
N Khakzad, F Khan, P Amyotte, V Cozzani
Risk Analysis: An International Journal 33 (2), 292-306, 2013
1812013
SHIPP methodology: Predictive accident modeling approach. Part I: Methodology and model description
S Rathnayaka, F Khan, P Amyotte
Process safety and environmental protection 89 (3), 151-164, 2011
1662011
Analyzing system safety and risks under uncertainty using a bow-tie diagram: An innovative approach
R Ferdous, F Khan, R Sadiq, P Amyotte, B Veitch
Process Safety and Environmental Protection 91 (1-2), 1-18, 2013
1602013
Solid inertants and their use in dust explosion prevention and mitigation
PR Amyotte
Journal of Loss Prevention in the process industries 19 (2-3), 161-173, 2006
1592006
Inherent safety in offshore oil and gas activities: a review of the present status and future directions
FI Khan, PR Amyotte
Journal of Loss Prevention in the Process Industries 15 (4), 279-289, 2002
1462002
Methodology for computer aided fuzzy fault tree analysis
R Ferdous, F Khan, B Veitch, PR Amyotte
Process safety and environmental protection 87 (4), 217-226, 2009
1432009
Application of inherent safety principles to dust explosion prevention and mitigation
PR Amyotte, MJ Pegg, FI Khan
Process Safety and Environmental Protection 87 (1), 35-39, 2009
1412009
Modelling the effect of particle size on dust explosions
A Di Benedetto, P Russo, P Amyotte, N Marchand
Chemical Engineering Science 65 (2), 772-779, 2010
1332010
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
1302015
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