Early Warning Systems


Alarm flooding is a major safety issue in today’s processing facilities. Important recommendations are available for alarm management; however, they are often violated in practice. As a sustainable development theme is pursued by modern process industries, the demand for an advanced, safer, and more effective alarm management system is desired, especially in dealing with safety, security and process integrity issues, as stipulated in ISO-9000 standard. Poor alarm management is one of the leading causes in industrial incidents. An effective process alarm prioritization and management system is desired for a safe and effective operation of a process facility.

Objectives and Areas

The main objective of this C-RISE research group is to address the main issues related to alarm systems – the reliability and the prioritization. Main research areas includes:

  1. Grouping the process variables and assigning alarms to them with the purpose of reducing the number of alarms.
  2. Developing a quantitative risk-based systematic annunciation, prioritization and analysis of warnings.
  3. Multi alert voting system based on sensor redundancy approach to improve the reliability.

Principal Research Lead:

Faisal Khan

Research/Team Lead:

Salim Ahmed

Group Members:

Mohammad Islam Miah, PhD Student
Md Alauddin, PhD Student
Arko Ghosh, M.Sc Student
Mohammad Zaid Kamil, M.Sc Student
Jannatul Naeema, M.Sc Student

Recent Publications:

  1. Miah, M., Elhaj, M., Ahmed, S., Hossain, E. (2018). Modeling of Temperature Distribution and Oil Displacement during Thermal Recovery in Porous Media: A Critical Review. Fuel 226, pp 423-440
  2. Gunasekera, M., Khan, F. and Ahmed, S. (2017). Learning Process Safety Principles through Practice. Process safety Progress (In Press)
  3. Shekari E., Khan, F. and Ahmed, S. (2017). Economic risk analysis of pitting corrosion in process facilities. International Journal of Pressure Vessels and Piping, Vol. 157, pp 51-62.
  4. Rahman, A., Happy, F., Ahmed, S., Hossain, M. (2017). Development of scaling criteria for enhanced oil recovery: A review. Journal of Petroleum Science and Engineering, 158, pp 66-79.
  5. Jayasiri, A.; Nandan, A. Imtiaz, S., Spencer, D., Islam, S., Ahmed, S. (2017). Dynamic Positioning of Vessels Using a UKF-Based Observer and an NMPC-Based Controller. IEEE Transactions on Automation Science and Engineering, 14(4), pp.1778-1785.
  6. Xin, P., Khan, F., Ahmed, S. (2017). Dynamic Hazard Identification and Scenario Mapping Using Bayesian Network, Process Safety and Environmental Protection. 105, pp 143-155.
  7. Ahmed, S. (2016). Identification from step response – the integral equation approach. The Canadian Journal of Chemical Engineering. 94 (12), pp 2243-2256.
  8. Shekari E, Khan, F. and Ahmed, S. (2016). Probabilistic Modeling of Pitting Corrosion in Insulated Components Operating in Offshore Facilities. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. 3(1), 011003.
  9. Hashemi, S. J, Khan, F. and Ahmed, S. (2016). Multivariate probabilistic safety analysis of process facilities using the Copula Bayesian Network model. Computers & Chemical Engineering, 93, pp 128-142.
  10. Hameed, A., Khan, F. and Ahmed, S. (2016) A risk-based shutdown inspection and maintenance considering human error, Process Safety and Environmental Protection, 100, pp 9-21.
  11. Xin, P., Khan, F., Ahmed, S. (2016) Layout Optimization of A Floating Liquefied Natural Gas Facility Using Inherent Safety Principles, Journal of Offshore Mechanics and Arctic Engineering, 138 (4), 041602-1-8.
  12. Wang, H., Khan, F., Ahmed, S. and Imtiaz, S. (2016). Dynamic quantitative operational risk assessment of chemical processes, Chemical Engineering Science, 142, pp 62-78.
  13. Shekari E, Khan, F. and Ahmed, S. (2016). A predictive approach to fitness- for-service assessment of pitting corrosion. International J. of Pressure Vessels and Piping, 137, pp 13-21