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Salim Ahmed
Salim Ahmed
Memorial University of Newfoundland
Подтвержден адрес электронной почты в домене mun.ca - Главная страница
Название
Процитировано
Процитировано
Год
Methods and models in process safety and risk management: Past, present and future
F Khan, S Rathnayaka, S Ahmed
Process safety and environmental protection 98, 116-147, 2015
6582015
A data-driven Bayesian network learning method for process fault diagnosis
MT Amin, F Khan, S Ahmed, S Imtiaz
Process Safety and Environmental Protection 150, 110-122, 2021
1932021
A bibliometric review and analysis of data-driven fault detection and diagnosis methods for process systems
M Alauddin, F Khan, S Imtiaz, S Ahmed
Industrial & Engineering Chemistry Research 57 (32), 10719-10735, 2018
1632018
Parameter and delay estimation of continuous-time models using a linear filter
S Ahmed, B Huang, SL Shah
Journal of Process Control 16 (4), 323-331, 2006
1452006
An analysis of process fault diagnosis methods from safety perspectives
R Arunthavanathan, F Khan, S Ahmed, S Imtiaz
Computers & Chemical Engineering 145, 107197, 2021
1342021
A deep learning model for process fault prognosis
R Arunthavanathan, F Khan, S Ahmed, S Imtiaz
Process Safety and Environmental Protection 154, 467-479, 2021
1252021
Novel identification method from step response
S Ahmed, B Huang, SL Shah
Control Engineering Practice 15 (5), 545-556, 2007
1242007
Dynamic domino effect risk assessment using Petri-nets
MZ Kamil, M Taleb-Berrouane, F Khan, S Ahmed
Process Safety and Environmental Protection 124, 308-316, 2019
1172019
Dynamic hazard identification and scenario mapping using Bayesian network
P Xin, F Khan, S Ahmed
Process Safety and Environmental Protection 105, 143-155, 2017
1112017
LNG pool fire simulation for domino effect analysis
MM Jujuly, A Rahman, S Ahmed, F Khan
Reliability Engineering & System Safety 143, 19-29, 2015
1022015
A risk-based shutdown inspection and maintenance interval estimation considering human error
A Hameed, F Khan, S Ahmed
Process Safety and Environmental Protection 100, 9-21, 2016
922016
Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula
MT Amin, F Khan, S Ahmed, S Imtiaz
Process Safety and Environmental Protection 150, 123-136, 2021
882021
Machine learning approach to model rock strength: prediction and variable selection with aid of log data
MI Miah, S Ahmed, S Zendehboudi, S Butt
Rock Mechanics and Rock Engineering 53, 4691-4715, 2020
842020
Identification from step responses with transient initial conditions
S Ahmed, B Huang, SL Shah
Journal of Process Control 18 (2), 121-130, 2008
822008
Log data-driven model and feature ranking for water saturation prediction using machine learning approach
MI Miah, S Zendehboudi, S Ahmed
Journal of Petroleum Science and Engineering 194, 107291, 2020
812020
Operational risk assessment model for marine vessels
A Aziz, S Ahmed, F Khan, C Stack, A Lind
Reliability Engineering & System Safety 185, 348-361, 2019
792019
A novel data‐driven methodology for fault detection and dynamic risk assessment
MT Amin, F Khan, S Ahmed, S Imtiaz
The Canadian Journal of Chemical Engineering 98 (11), 2397-2416, 2020
772020
Fault detection and diagnosis in process system using artificial intelligence-based cognitive technique
R Arunthavanathan, F Khan, S Ahmed, S Imtiaz, R Rusli
Computers & Chemical Engineering, 106697, 2020
752020
An ontology-based methodology for hazard identification and causation analysis
A Aziz, S Ahmed, FI Khan
Process Safety and Environmental Protection 123, 87-98, 2019
692019
Economic risk analysis of pitting corrosion in process facilities
E Shekari, F Khan, S Ahmed
International Journal of Pressure Vessels and Piping 157, 51-62, 2017
682017
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