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Fall 2015

Mozaffari, Saeed

Asphaltenes are the heaviest fraction of bitumen. Asphaltenes not only play an important role in the high viscosity of bitumen but also in the water-in-oil (W/O) emulsion stability. Nevertheless, their exact function in the stability mechanism of W/O emulsion still remains unresolved. It is...

Spring 2021

Khosbayar, Anudari

For efficient process control and monitoring, accurate real-time information of quality variables is essential. To predict these quality (or slow-rate) variables at a fast-rate, in the industry, inferential/soft sensors are often used. However, most of the conventional methods for soft sensors do...

Fall 2015

Ranjan, Rishik

Availability of large amounts of industrial process data is allowing researchers to explore new data-based modelling methods. In this thesis, Gaussian process (GP) regression, a relatively new Bayesian approach to non-parametric data based modelling is investigated in detail. One of the primary...

Spring 2018

Daemi, Atefeh

Increasingly many complex processes from the different fields of biological systems, engineering or econometrics are often required to be controlled. Hence, in such cases, we deal with identification of underlying complex processes which is essential for control design, optimization, and process...

Spring 2022

Memarian, Alireza

The operations of the plant may deviate from the initial design due to the uncertainties and changes in the several conditions as a result of market demand, operation conditions, and safety regulations over time. To maintain productivity, safety, and efficiency, operators should ensure the...

Fall 2020

Fan, Lei

Data-driven modeling approaches have been widely studied and applied to the process industries for inferential sensor development, process monitoring and fault detection and early warnings, etc. Essential information of process, like dynamic and relationships between process variables are buried...

Spring 2012

Nadadoor Srinivasan, Venkat R.

Biological engineering is a domain of study that involves applying known engineering principles to biological systems. Qualitative studies in the field of biology have undergone tremendous advancements in the last two decades but quantitation is still in its early stages due to various...

Fall 2021

Sadeghian, Anahita

Most of the industrial plants are heavily instrumented with a large number of sensors and analyzers to provide the data needed for process control and monitoring purposes. However, online and fast-rate measurements are not always available due to restricted availability and/or reliability of...

Fall 2022

Dyson, Cameron

Model predictive control (MPC) is a popular advanced control technology. Unfortunately, over time the behaviour of the plant may deviate from its initial design conditions resulting in model-plant-mismatch. The detection and diagnosis of such mismatches is an important task to ensure that MPC...

Fall 2009

Amiri, Mohammad Sadegh

Proportional, integral and derivative (PID) controller tuning guidelines in process industry have been in place for over six decades. Nevertheless despite their long design history PID tuning has remained an ‘art’ and no single comprehensive solution yet exists. In this study various...