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Skip to Search Results- 1325Department of Chemical and Materials Engineering
- 3Department of Biomedical Engineering
- 2Department of Biological Sciences
- 2Department of Laboratory Medicine and Pathology
- 1Department of Civil and Environmental Engineering
- 1Department of Human Ecology
- 2Bendrich, Michelle
- 2El-Thaher, Nayef
- 2Fadic Eulefi, Anton
- 2Hoseinzadeh Hejazi, Sayed Alireza
- 2Hosseininejad, Seyed Shaham Aldin
- 2Karkooti, Amin
- 44Xu, Zhenghe (Chemical and Materials Engineering)
- 40Huang, Biao (Chemical and Materials Engineering)
- 34Liu, Qingxia (Chemical and Materials Engineering)
- 27Henein, Hani (Chemical and Materials Engineering)
- 27Zeng, Hongbo (Chemical and Materials Engineering)
- 20Gupta, Rajender (Chemical and Materials Engineering)
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Rheology of Bitumen at the Onset of Asphaltene Aggregation and its Effects on the Stability of Water-in-Oil Emulsion
DownloadFall 2015
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...
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Spring 2021
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...
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Robust Gaussian Process Regression and its Application in Data-driven Modeling and Optimization
DownloadFall 2015
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...
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Robust Gaussian Process Regression with a mixture of two Gaussian distributions as a noise model
DownloadSpring 2018
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...
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Robust Generalized Weighted Probabilistic Principal Component Regression with Application in Data-driven Optimization
DownloadSpring 2022
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...
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Fall 2020
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...
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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...
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Robust Probabilistic Principal Component Analysis Based Modeling with Gaussian Mixture Noises
DownloadFall 2021
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...
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Robust Probabilistic Slow Feature Analysis for Soft Sensor Development and Model Quality Assessment
DownloadFall 2022
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...