Design of inferential sensors in the process industry: A review of Bayesian methods
In many industrial plants, development and implementation of advanced monitoring and
control techniques require real-time measurement of process quality variables. However, on …
control techniques require real-time measurement of process quality variables. However, on …
Nonlinear Bayesian state estimation: A review of recent developments
Online estimation of the internal states is a perquisite for monitoring, control, and fault
diagnosis of many engineering processes. A cost effective approach to monitor these …
diagnosis of many engineering processes. A cost effective approach to monitor these …
Online deep neural network-based feedback control of a Lutein bioprocess
P Natarajan, R Moghadam, S Jagannathan - Journal of Process Control, 2021 - Elsevier
An online adaptive deep neural network (DNN) scheme has been introduced for the tracking
control of a nonlinear bioprocess with uncertain internal dynamics. First, a detailed …
control of a nonlinear bioprocess with uncertain internal dynamics. First, a detailed …
[HTML][HTML] Actor–critic reinforcement learning and application in developing computer-vision-based interface tracking
This paper synchronizes control theory with computer vision by formalizing object tracking
as a sequential decision-making process. A reinforcement learning (RL) agent successfully …
as a sequential decision-making process. A reinforcement learning (RL) agent successfully …
Dual neural extended Kalman filtering approach for multirate sensor data fusion
J Wang, Y Alipouri, B Huang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The dual neural extended Kalman filter (DNEKF) is proposed in this article to compensate
for model inaccuracies and violations of noise assumption in the EKF-based multirate …
for model inaccuracies and violations of noise assumption in the EKF-based multirate …
Modality translation and fusion for event-based semantic segmentation
Semantic segmentation is an important part of scene understanding in autonomous systems.
Accurate segmentation results help the autonomous system better understand the …
Accurate segmentation results help the autonomous system better understand the …
Nonparametric density estimation of froth colour texture distribution for monitoring sulphur flotation process
As an important indicator of flotation performance, froth texture is believed to be related with
operational condition in sulphur flotation process. A novel froth images classification method …
operational condition in sulphur flotation process. A novel froth images classification method …
Computer vision system for froth-middlings interface level detection in the primary separation vessels
Bitumen from the surface-mined oil sands is separated through a water-based gravity
separation process in the Primary Separation Vessels (PSV). The froth-middlings interface …
separation process in the Primary Separation Vessels (PSV). The froth-middlings interface …
Kalman filter-based convolutional neural network for robust tracking of froth-middling interface in a primary separation vessel in presence of occlusions
F Amjad, SK Varanasi, B Huang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Bitumen in the oil sands industry is separated from sand using a water-based gravity
separation process in a primary separation vessel (PSV). The interface between the froth …
separation process in a primary separation vessel (PSV). The interface between the froth …
Development of a vision‐based online soft sensor for oil sands flotation using support vector regression and its application in the dynamic monitoring of bitumen …
Extraction from oil sands is a crucial step in the industrial recovery of bitumen. It is
challenging to obtain online measurements of process outputs such as bitumen grade and …
challenging to obtain online measurements of process outputs such as bitumen grade and …