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Skip to Search Results- 5Causality analysis
- 2Capacity expansion
- 2Information theory
- 2Process monitoring
- 1Alarm Management
- 1Alarm flood analysis
- 2Chen, Tongwen (Electrical and Computer Engineering)
- 1Ardakani, Masoud (Electrical and Computer Engineering)
- 1Doucette, John (Mechanical Engineering)
- 1Huang, Biao (Chemical and Materials Engineering)
- 1Huang, Biao (Chemical and Materials Engineering)
- 1Shah, Sirish (Chemical and Materials Engineering)
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Fall 2017
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...
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Fall 2012
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...
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Spring 2013
One of the most stunning results of information theory is the channel coding theorem addressing the maximum rate of reliable communication over a noisy channel, known as channel capacity. In this thesis, we consider two problems emerging from the classic channel coding theorem. First, we study...
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Spring 2014
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...
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Fall 2016
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...
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Fall 2024
Canada has set a goal to reach net-zero electricity. For Alberta, this remains a significant challenge. Although Alberta has achieved considerable greenhouse gas (GHG) reductions by eliminating coal and expanding its renewable fleet, a unique electricity market and the dominance of natural...
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Probabilistic Models for Process Monitoring and Causality Analysis with Industrial Applications
DownloadFall 2019
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...