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View article: Active Cooling Device: A Flexible, Lab-Scale Experimental Unit to Develop Spatio-Temporal Temperature Control Strategies
Active Cooling Device: A Flexible, Lab-Scale Experimental Unit to Develop Spatio-Temporal Temperature Control Strategies Open
We present an experimental unit that realizes the ``multi-input, multi-output manifold'' thermal management technology proposed by Lamarre & Raymond (2023). The proposed setup can be used for experiments aimed at controlling spatiotemporal…
View article: AI‐Driven Quality Monitoring and Control in Stem Cell Cultures: A Comprehensive Review
AI‐Driven Quality Monitoring and Control in Stem Cell Cultures: A Comprehensive Review Open
Recent advancements in stem cell research forge them into one of the most promising sources for cell therapy applications. Quality monitoring in stem cell culture is essential for ensuring consistency, viability, and therapeutic efficacy. …
View article: Surrogate Model for Heat Transfer Prediction in Impinging Jet Arrays using Dynamic Inlet/Outlet and Flow Rate Control
Surrogate Model for Heat Transfer Prediction in Impinging Jet Arrays using Dynamic Inlet/Outlet and Flow Rate Control Open
This study presents a surrogate model designed to predict the Nusselt number distribution in an enclosed impinging jet arrays, where each jet function independently and where jets can be transformed from inlets to outlets, leading to a vas…
View article: Active Cooling Device: A Flexible, Lab-Scale Experimental Unit to Develop Spatio-Temporal Temperature Control Strategies
Active Cooling Device: A Flexible, Lab-Scale Experimental Unit to Develop Spatio-Temporal Temperature Control Strategies Open
View article: Early fault diagnosis in chemical processes through multistep multivariable prediction
Early fault diagnosis in chemical processes through multistep multivariable prediction Open
View article: Surrogate Model for Heat Transfer Prediction in Impinging Jet Arrays Using Dynamic Inlet/Outlet and Flow Rate Control
Surrogate Model for Heat Transfer Prediction in Impinging Jet Arrays Using Dynamic Inlet/Outlet and Flow Rate Control Open
View article: Towards non-invasive quality monitoring and control of stem cell-derived pancreatic islet manufacturing
Towards non-invasive quality monitoring and control of stem cell-derived pancreatic islet manufacturing Open
View article: Interpretable Propagation Path Neural Network for Fault Detection and Diagnosis
Interpretable Propagation Path Neural Network for Fault Detection and Diagnosis Open
View article: Towards Pilot-Scale Electric Arc Furnace Temperature Prediction & Bath Size Estimation with Long Short-Term Memory Networks
Towards Pilot-Scale Electric Arc Furnace Temperature Prediction & Bath Size Estimation with Long Short-Term Memory Networks Open
View article: Industrial Data-Driven Processing Framework Combining Process Knowledge for Improved Decision Making—Part 1: Framework Development
Industrial Data-Driven Processing Framework Combining Process Knowledge for Improved Decision Making—Part 1: Framework Development Open
Data management systems are increasingly used in industrial processes. However, data collected as part of industrial process operations, such as sensor or measurement instruments data, contain various sources of errors that can hamper proc…
View article: Experimental methods in chemical engineering: Data processing and data usage in decision‐making
Experimental methods in chemical engineering: Data processing and data usage in decision‐making Open
Industrial facilities collect large volumes of data, store them according to prescribed protocols, and then interpret them for process decision‐making. Several sources and types of error contaminate these data for various reasons, but espe…
View article: Improving first-principle model accuracy using a hybrid approach: A case study to high pressure grinding rolls in mineral industry
Improving first-principle model accuracy using a hybrid approach: A case study to high pressure grinding rolls in mineral industry Open
High-pressure grinding rolls are key assets in ore processing because of their low energy consumption and high capacity. Accurately predicting the purity of the obtained product is paramount as it directly impacts the predicted economic be…
View article: Using Learned Health Indicators and Deep Sequence Models to Predict Industrial Machine Health
Using Learned Health Indicators and Deep Sequence Models to Predict Industrial Machine Health Open
In this paper, we describe a machine learning approach for predicting machine health indicators with a large time horizon into the future. The approach uses state-of-the-art neural network architectures for sequence modelling and can incor…
View article: Frontmatter
Frontmatter Open
View article: Industry‐Driven Rapid Prototyping for Comparing Nonlinear Control Schemes in Pyomo
Industry‐Driven Rapid Prototyping for Comparing Nonlinear Control Schemes in Pyomo Open
With ongoing digitalization, fast simulation of process dynamics offers new opportunities for model‐based control schemes. This is eased by the availability of high‐level, open‐access, easy‐to‐use software able to simulate and optimize che…
View article: Vorschau: Chem. Ing. Tech. 12/2020
Vorschau: Chem. Ing. Tech. 12/2020 Open
befassen sich mit Modellen fu ¨r ho ¨here nichtlineare Prozessfu ¨hrungsstrategien flexibel betrie-
View article: Simulation and optimal control of the Williams-Otto process using Pyomo
Simulation and optimal control of the Williams-Otto process using Pyomo Open
We illustrate the advantages the high-level open-source software package Pyomo has in rapidly setting up and solving dynamic simulation and optimization problems. In order to do so, we use the example of the Williams-Otto process. We show …
View article: Integration of alarm design in fault detection and diagnosis through alarm-range normalization
Integration of alarm design in fault detection and diagnosis through alarm-range normalization Open
Alarm systems designed according to engineering and safety considerations provide the primary source of information for operators when it comes to abnormal situations. Still, alarm systems have rarely been exploited for fault detection and…
View article: Fault detection and identification combining process measurements and statistical alarms
Fault detection and identification combining process measurements and statistical alarms Open
Classification-based methods for fault detection and identification can be difficult to implement in industrial systems where process measurements are subject to noise and to variability from one fault occurrence to another. This paper use…
View article: Forecasting of process disturbances using k-nearest neighbours, with an application in process control
Forecasting of process disturbances using k-nearest neighbours, with an application in process control Open
This paper examines the prediction of disturbances based on their past measurements using k-nearest neighbours. The aim is to provide a prediction of a measured disturbance to a controller, in order to improve the feed-forward action. This…
View article: Forecasting of process disturbances using k -nearest neighbours, with an application in process control
Forecasting of process disturbances using k -nearest neighbours, with an application in process control Open
This paper examines the prediction of disturbances based on their past measurements using k –nearest neighbours. The aim is to provide a prediction of a measured disturbance to a controller, in order to improve the feed-forward action. Thi…
View article: Advances in alarm data analysis with a practical application to online alarm flood classification
Advances in alarm data analysis with a practical application to online alarm flood classification Open
View article: Variable Selection for Fault Detection and Identification based on Mutual Information of Alarm Series
Variable Selection for Fault Detection and Identification based on Mutual Information of Alarm Series Open
Reducing the dimensionality of a fault detection and identification problem is often a necessity, and variable selection is a practical way to do it. Methods based on mutual information have been successful in that regard, but their applic…
View article: An Mpc With Disturbance Forecasting For The Control Of The Level Of A Tank With Limited Buffer Capacity
An Mpc With Disturbance Forecasting For The Control Of The Level Of A Tank With Limited Buffer Capacity Open
The paper deals with the behavior of an MPC for the control of a level of a tank, whose inflow is subject to persistent plantwide disturbances. It is shown that the response of an industrial MPC can be aggressive and oscillatory in such si…
View article: On Improving Fault Detection And Diagnosis Using Alarm-Range Normalisation
On Improving Fault Detection And Diagnosis Using Alarm-Range Normalisation Open
Alarm systems based on engineering and safety considerations are the prime source of information for operators when it comes to abnormal situations. Conversely, the presence of fault detection and diagnosis algorithms in process plants is …
View article: Online Alarm Flood Classification Using Alarm Coactivations
Online Alarm Flood Classification Using Alarm Coactivations Open
Alarms indicate abnormal operation of the process plants and alarm floods constitute specific abnormal episodes that cannot be handled safely by the operators. In that regard, online alarm flood classification based on a bank of past histo…
View article: Forecast Of Persistent Disturbances In Process Systems Using A K-Nearest Neighbor And A Weighted K-Nearest Neighbor Method
Forecast Of Persistent Disturbances In Process Systems Using A K-Nearest Neighbor And A Weighted K-Nearest Neighbor Method Open
This paper focuses on the prediction of persistent disturbances based on their past measurements using two versions of the k-nearest neighbours method: an unweighted and a weighted version. Results of tests on data from a refinery…
View article: On improving fault detection and diagnosis using alarm-range normalisation
On improving fault detection and diagnosis using alarm-range normalisation Open
Alarm systems based on engineering and safety considerations are the prime source of information for operators when it comes to abnormal situations. Conversely, the presence of fault detection and diagnosis algorithms in process plants is …
View article: Online Alarm Flood Classification Using Alarm Coactivations
Online Alarm Flood Classification Using Alarm Coactivations Open
Alarms indicate abnormal operation of the process plants and alarm floods constitute specific abnormal episodes that cannot be handled safely by the operators. In that regard, online alarm flood classification based on a bank of past histo…
View article: Diagnosis of Oscillations in an Industrial Mineral Process Using Transfer Entropy and Nonlinearity Index
Diagnosis of Oscillations in an Industrial Mineral Process Using Transfer Entropy and Nonlinearity Index Open
Oscillations in mineral processes can propagate through multiple units, causing important controlled variables to deviate from their set points and degrade control performance. Root cause diagnosis of oscillations enables corrective action…