Fault detection, identification and diagnosis using CUSUM based PCA MB Shams, HM Budman, TA Duever Chemical Engineering Science 66 (20), 4488-4498, 2011 | 142 | 2011 |
Time series analysis of Bahrain's first hybrid renewable energy system MB Shams, S Haji, A Salman, H Abdali, A Alsaffar Energy 103, 1-15, 2016 | 47 | 2016 |
Stochastic modeling of the impact of meteorological conditions on road traffic accidents M Al-Harbi, MF Yassin, M Bin Shams Stochastic Environmental Research and Risk Assessment 26, 739-750, 2012 | 29 | 2012 |
Finding a trade-off between observability and economics in the fault detection of chemical processes MB Shams, H Budman, T Duever Computers & chemical engineering 35 (2), 319-328, 2011 | 17 | 2011 |
Gas turbine inlet air cooling system for enhancing propane recovery in a gas plant: Theoretical and cost analyses MB Shams, EM Elkanzi, Z Ramadhan, S Rahma, M Khamis Journal of Natural Gas Science and Engineering 43, 22–32, 2017 | 16 | 2017 |
Fault detection using CUSUM based techniques with application to the Tennessee Eastman Process M Kothare, AV Wouwer | 16* | |
Application of pinch analysis to improve the heat integration efficiency in a crude distillation unit S Mrayed, MB Shams, M Al-Khayyat, N Alnoaimi Cleaner Engineering and Technology 4, 100168, 2021 | 15 | 2021 |
Energy analysis of Bahrain’s first hybrid renewable energy system S Haji, MB Shams, AS Akbar, H Abdali, A Alsaffar International Journal of Green Energy 16 (10), 733-748, 2019 | 12 | 2019 |
Fault Identification Using Kernel Principal Component Analysis MB Shams World Congress 18 (1), 4320-4325, 2011 | 7 | 2011 |
Dynamic CFD modelling of an industrial-scale dead-end ultrafiltration system: Full cycle and complete blockage O Al-Abbasi, MB Shams Journal of Water Process Engineering 40, 101887, 2021 | 6 | 2021 |
Optimal design of T2 monitoring chart for chemical processes MB Shams, A Elkamel, K Moorthy, G Rafinejad, A Saxena International Journal of Process Systems Engineering 3 (4), 232-247, 2015 | 6 | 2015 |
Application of Statistical Design to an Industrial‐Scale Dead‐End Ultrafiltration Process MB Shams, F Mumtaz, A Murali, W Akbar, N Al‐Bastaki Chemical Engineering & Technology 38 (8), 1315-1326, 2015 | 5 | 2015 |
Transient CFD Modelling of a full cycle dead-end Ultrafiltration Membrane O Al-Abbasi, MB Shams 2019 8th International Conference on Modeling Simulation and Applied …, 2019 | 3 | 2019 |
Batch-Wise Unfolding PCA for Fault Detection and Identification of a continuously operated UF system MB Shams, E Aldeeb, R Elshereef, S Rezk 2019 8th International Conference on Modeling Simulation and Applied …, 2019 | 3 | 2019 |
Predicting Student Retention in Higher Education Using Data Mining Techniques: A Literature Review WM Attiya, MB Shams 2023 International Conference On Cyber Management And Engineering (CyMaEn …, 2023 | 2 | 2023 |
Model predictive controller for a retrofitted heat exchanger temperature control laboratory experiment N Mansour, MB Shams, H Ismail Indonesian Journal of Electrical Engineering and Computer Science 25 (02 …, 2022 | 2 | 2022 |
Observability and Economic aspects of Fault Detection and Diagnosis Using CUSUM based Multivariate Statistics MB Shams University of Waterloo, 2010 | 2 | 2010 |
Connectionist Modelling for Anthropogenic Greenhouse Gases (GHG) Emissions In Urban Environments M Al-Harbi, MB Shams, I Alhajri Applied Ecology and Environmental Research 18 (2), 2087-2107, 2020 | 1 | 2020 |
Nonlinear autoregressive with exogenous input (NARX) modelling for fouling prediction in industrial dead-end ultrafiltration process MB Shams Desalination and Water Treatment 75, 34–44, 2017 | 1 | 2017 |
Enhancing fault-observability by the use of feedback control MB Shams, HM Budman, TA Duever Industrial & Engineering Chemistry Research 50 (2), 916-925, 2010 | 1* | 2010 |