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- 5Causality analysis
- 2Process monitoring
- 1Alarm Management
- 1Alarm flood analysis
- 1Bayesian networks
- 1Connectivity map
The effectiveness of industrial process monitoring depends heavily on alarm systems. If alarm configurations are not rationally designed, the problem of excessive alarm messages would impact negatively the efficiency or even the safety of plant operations due to distracted information provided to...
In this thesis, two Graphical User Interfaces (GUIs) are designed in MATLAB to perform causality analysis and alarm management. Finding out the root-cause of a fault scenario or an abnormality in a large industrial process typically requires one to logically analyze cause and effect relationships...
Detection and diagnosis of plant-wide abnormalities and disturbances are major problems in large-scale complex systems. To determine the root cause(s) of specific abnormalities, it is important to capture the process connectivity and investigate the fault propagation pathways, in which causality...
Management of abnormal events in chemical processes requires detection and diagnosis of abnormal performance of individual elements of the system. Detection of abnormal performance is usually done by means of setting a control limit on measured variables. Abnormality due to any reason in one...
Process monitoring involves ensuring that the process systems are run safely and operated in the most profitable manner. On the other hand, causal modelling involves studying the causal interactions among the variables in a process system. The knowledge of these interactions is useful in process...