This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 3Process monitoring
- 1Bayesian networks
- 1Causality analysis
- 1Chance-constrained optimization
- 1Distributionally robust optimization
- 1Fault detection
-
Fall 2024
Process optimization and process monitoring form two major cornerstones of the field of process systems engineering. This thesis tackles selected problems from these foci through the lens of optimal transport theory, a powerful mathematical methodology that is receiving renewed attention in...
-
Spring 2024
Modern industries are increasingly embracing complex, large-scale processes with interconnected units for their economic benefits. The increasing scale of industrial processes and the complexity of unit interactions substantially complicate the development of advanced process control systems....
-
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...