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Skip to Search Results- 1Amin, Md Shahedul
- 1Amiri, Mohammad Sadegh
- 1Arifin, B M Sirajeel
- 1Balakrishnapillai Chitralekha, Saneej
- 1Chang, David Wai Ming
- 1Danesh Pour, Nima
- 7Shah, Sirish (Chemical and Materials Engineering)
- 6Shah, Sirish L. (Chemical and Materials Engineering)
- 3Chen, Tongwen (Electrical and Computer Engineering)
- 1Ben-Zvi, Amos (Chemical and Materials Engineering)
- 1Dr. Shah, Sirish (Chemical and Materials Engineering)
- 1Dubljevic, Stevan (Chemical and Materials Engineering)
Results for "supervisors_tesim:"Shah, Sirish (Chemical and Materials Engineering)""
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Fall 2010
This research deals with the modeling and control of a plasticating twin screw extruder (TSE) that will be used to obtain consistent product quality. The TSE is a widely used process technology for compounding raw polymers. Compounding creates a polymer with improved properties that satisfy the...
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Applications of nonautonomous infinite-dimensional systems control theory for parabolic PDEs
DownloadFall 2013
Parabolic partial differential equations (PDEs) are used as models of transport-reaction phenomena in a variety of different industrial chemical and materials engineering processes, and can yield precise descriptions of process variables with complex temporal and spatially dependent system...
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Spring 2011
Balakrishnapillai Chitralekha, Saneej
The development of fast and efficient computer hardware technology has resulted in the rapid development of numerous computational software tools for making statistical inferences. The computational algorithms, which are the backbone of these tools, originate from distinct areas in science,...
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Spring 2010
The main area of research delineated in this thesis provides instances when Computer vision based technology has shown tremendous productivity gains in the Oil sands industry in Fort McMurray, Alberta, Canada. Specifically, the interface between Bitumen-froth (crude oil) and the Middlings (Sand)...
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Fall 2009
This thesis is concerned with subspace identification and its applications for controller performance assessment and process modeling from closed-loop data. A joint input-output closed-loop subspace identification method is developed which provides consistent estimation of the subspace matrices...
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Spring 2011
Data based abnormality detection is a growing research field focussed on extracting information from feature rich data. They are considered to be non-intrusive and non-destructive in nature which gives them a clear advantage over conventional methods. In this study, we explore different streams...
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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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Fall 2018
Fault Detection, Isolation and Remediation of Real Processes",,eng,"Fault Detection, Change Detection, Leak Detection, Control Valve Stiction, Stiction-Compensation","The goal of process control and monitoring system is to operate the process plants safely, reliably and in fault-free mode. Even a...
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Spring 2012
The main focus of this thesis is on developing parsimonious models using measured process data and subsequent use of these models in the design of controllers for chemical engineering processes, in particular, for processes with large dead times. The application case studies presented and...
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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...