Papers in referred journals 2018

1. Amin, Md. T., Imtiaz, S., & Khan, F. (2018). Process system fault detection and diagnosis using a hybrid technique. Chemical Engineering Science, 189 (Nov 2018), 191-211. https://doi.org/10.1016/j.ces.2018.05.045. See the data here.

Papers in referred journals 2017

1. Bhandari, J., Khan, F., Abbassi, R., Garaniya, V., & Ojeda, R. (2017). Pitting Degradation Modeling of Ocean Steel Structures Using Bayesian Network. Journal of Offshore Mechanics and Arctic Engineering, 139(5), 51402. http://doi.org/10.1115/1.4036832.
2. Baalisampang, T., Abbassi, R., Garaniya, V., Khan, F., & Dadashzadeh, M. (2017). Fire impact assessment in FLNG processing facilities using Computational Fluid Dynamics (CFD). Fire Safety Journal, 92, 42–52. http://doi.org/10.1016/j.firesaf.2017.05.012.
3. Arzaghi, E., Abaei, M. M., Abbassi, R., Garaniya, V., Chin, C., & Khan, F. (2017). Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring. Engineering Failure Analysis. http://doi.org/10.1016/j.engfailanal.2017.06.003.
4. Khan, M., Tahiyat, M., Imtiaz, S., Choudhury, M. A. A. S., & Khan, F. (2017). Experimental evaluation of control performance of MPC as a regulatory controller. ISA Transactions. http://doi.org/10.1016/j.isatra.2017.04.024.
5. Yu, H., & Khan, F. (2017). Improved latent variable models for nonlinear and dynamic process monitoring. Chemical Engineering Science. http://doi.org/10.1016/j.ces.2017.04.048.
6. Khakzad, S., Khan, F., Abbassi, R., & Khakzad, N. (2017). Accident risk-based life cycle assessment methodology for green and safe fuel selection. Process Safety and Environmental Protection, 109, 268–287. http://doi.org/10.1016/j.psep.2017.04.005.
7. Fahd, F., Khan, F., Veitch, B., & Yang, M. (2017). Aquatic ecotoxicological models and their applicability in Arctic regions. Marine Pollution Bulletin. Retrieved from http://www.sciencedirect.com/science/article/pii/S0025326X17302928.
8. Amyotte, P, Lupien, C & Khan, F. (2017). Different hazards, similar causes, same results. Loss Prevention Bulletin, 253, 14-18.
9. Gharahbagheri, H., Imtiaz, S., & Khan, F. (2017). Combination of KPCA and causality analysis for root cause diagnosis of industrial process fault. The Canadian Journal of Chemical Engineering. http://doi.org/10.1002/cjce.22852
10. ALNabhani, K., Khan, F., & Yang, M. (2017). Management of TENORMs produced during oil and gas operation. Journal of Loss Prevention in the Process Industries (Vol. 47). Retrieved from http://www.sciencedirect.com/science/article/pii/S0950423017301031
11. Caines, S., Khan, F., Shirokoff, J., & Qiu, W. (2017). Demonstration of increased corrosion activity for insulated pipe systems using a simplified electrochemical potential noise method. Journal of Loss Prevention in the Process Industries. http://doi.org/10.1016/j.jlp.2017.03.012
12. El-Gheriani, M., Khan, F., & Zuo, MJ. (2017). Rare event analysis considering data and model uncertainty. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. http://doi:10.1115/1.4036155
13. Wang, Y., Liu, Y., Khan, F., & Imtiaz, S. (2017). Semiparametric PCA and Bayesian network based process fault diagnosis technique. The Canadian Journal of Chemical Engineering. http://doi.org/10.1002/cjce.22829
14. ALNabhani, K., Khan, F., & Yang, M. (2017). Dynamic modeling of TENORM exposure risk during drilling and production. Journal of Petroleum Exploration and Production Technology, 1–14. http://doi.org/10.1007/s13202-017-0325-3
15. Afenyo, M., Khan, F., Veitch, B., & Yang, M. (2017). Arctic shipping accident scenario analysis using Bayesian Network approach. Ocean Engineering, 133, 224–230. http://doi.org/10.1016/j.oceaneng.2017.02.002
16. Yu, H., Khan, F., & Veitch, B. (2017). A Flexible Hierarchical Bayesian Modeling Technique for Risk Analysis of Major Accidents. Risk Analysis. http://doi.org/10.1111/risa.12736
17. Caines, S., Khan, F., Zhang, Y., & Shirokoff, J. (2017). Simplified electrochemical potential noise method to predict corrosion and corrosion rate. Journal of Loss Prevention in the Process Industries, 47, 72–84. http://doi.org/10.1016/j.jlp.2017.02.023
18. Van Staalduinen, M. A., Khan, F., Gadag, V., & Reniers, G. (2017). Functional quantitative security risk analysis (QSRA) to assist in protecting critical process infrastructure. Reliability Engineering & System Safety, 157, 23–34. http://doi.org/10.1016/j.ress.2016.08.014.
19. Afenyo, M., Khan, F., Veitch, B., & Yang, M. (2017). A probabilistic ecological risk model for Arctic marine oil spills. Journal of Environmental Chemical Engineering. http://doi.org/10.1016/j.jece.2017.02.021
20. Adedigba, S. A., Khan, F., & Yang, M. (2017). Dynamic Failure Analysis of Process Systems Using Principal Component Analysis and Bayesian Network. Industrial & Engineering Chemistry Research, acs.iecr.6b03356. http://doi.org/10.1021/acs.iecr.6b03356
21. Gharahbagheri, H., Imtiaz, S. A., & Khan, F. (2017). Root Cause Diagnosis of Process Fault Using KPCA and Bayesian Network. Industrial & Engineering Chemistry Research, acs.iecr.6b01916. http://doi.org/10.1021/acs.iecr.6b01916
22. Sajid, Z., Khan, F., & Zhang, Y. (2017). Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis. Renewable Energy, 107, 194–203. http://doi.org/10.1016/j.renene.2017.01.058
23. Liu, H., Khan, F., & Thodi, P. (2017). Revised burst model for pipeline integrity assessment. Engineering Failure Analysis. http://doi.org/10.1016/j.engfailanal.2017.01.018
24. Islam, R., Khan, F., & Venkatesan, R. (2017). Real time risk analysis of kick detection: Testing and validation. Reliability Engineering & System Safety, 161, 25–37. http://doi.org/10.1016/j.ress.2016.12.014.
25. El-Gheriani, M., Khan, F., Chen, D., & Abbassi, R. (2017). Major accident modelling using spare data. Process Safety and Environmental Protection, 106, 52–59. http://doi.org/10.1016/j.psep.2016.12.004
26. Smith, D., Veitch, B., Khan, F., & Taylor, R. (2017). Understanding industrial safety: Comparing Fault tree, Bayesian network, and FRAM approaches. Journal of Loss Prevention in the Process Industries, 45, 88–101. http://doi.org/10.1016/j.jlp.2016.11.016
27. Yang, Y., Khan, F., Thodi, P., & Abbassi, R. (2017). Corrosion induced failure analysis of subsea pipelines. Reliability Engineering & System Safety, 159, 214–222. http://doi.org/10.1016/j.ress.2016.11.014
28. Ehlers, U. C., Ryeng, E. O., McCormack, E., Khan, F., & Ehlers, S. (2017). Assessing the safety effects of cooperative intelligent transport systems: A bowtie analysis approach. Accident Analysis & Prevention, 99, 125–141. http://doi.org/10.1016/j.aap.2016.11.014.
29. Xin, P., Khan, F., & Ahmed, S. (2017). Dynamic hazard identification and scenario mapping using Bayesian network. Process Safety and Environmental Protection, 105, 143–155. http://doi.org/10.1016/j.psep.2016.11.003

Papers in conferences 2017

1. Gharahbagheri, H., Imtiaz, S. A., & Khan, F. I. (2017). Application of Bayesian network for root cause diagnosis of chemical process fault. In 2017 Indian Control Conference (ICC) (pp. 188–193). IEEE. http://doi.org/10.1109/INDIANCC.2017.7846473