Data-driven monitoring of multimode continuous processes: A review
Abstract The Internet of Things benefits connectivity and functionality in industrial
environments, while Cloud Computing boosts computational capability. Hence, historical …
environments, while Cloud Computing boosts computational capability. Hence, historical …
A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes
L Li, SK Damarla, Y Wang, B Huang - Information Sciences, 2021 - Elsevier
Due to small-quantity and often imbalance of labeled samples, it is challenging to establish
a robust and accurate prediction model through data-driven methods. To deal with the small …
a robust and accurate prediction model through data-driven methods. To deal with the small …
[HTML][HTML] Artificial intelligence in steam cracking modeling: a deep learning algorithm for detailed effluent prediction
PP Plehiers, SH Symoens, I Amghizar, GB Marin… - Engineering, 2019 - Elsevier
Chemical processes can benefit tremendously from fast and accurate effluent composition
prediction for plant design, control, and optimization. The Industry 4.0 revolution claims that …
prediction for plant design, control, and optimization. The Industry 4.0 revolution claims that …
Optimization of aluminum fluoride addition in aluminum electrolysis process based on pruned sparse fuzzy neural network
The aluminum fluoride (AF) addition in aluminum electrolysis process (AEP) can directly
influence the current efficiency, energy consumption, and stability of the process. This paper …
influence the current efficiency, energy consumption, and stability of the process. This paper …
A comprehensive operating performance assessment framework based on distributed Siamese gated recurrent unit for hot strip mill process
C Zhang, K Peng, J Dong, L Miao - Applied Soft Computing, 2023 - Elsevier
For modern industrial processes, the operating performance assessment has a significant
role in ensuring high quality and efficiency in production under normal condition. However …
role in ensuring high quality and efficiency in production under normal condition. However …
Performance-relevant kernel independent component analysis based operating performance assessment for nonlinear and non-Gaussian industrial processes
Y Liu, F Wang, Y Chang, F Gao, D He - Chemical Engineering Science, 2019 - Elsevier
The operating performance assessment of industrial processes becomes increasingly
important in manufacturing production. A novel operating performance assessment method …
important in manufacturing production. A novel operating performance assessment method …
Step-wise segment partition based stationary subspace analysis and Gaussian mixture model for nonstationary process performance assessment
X Zou, C Zhao - Information Sciences, 2023 - Elsevier
This article focuses on solving the problem of performance assessment for nonstationary
processes without significant cointegrated correlations, which is a basic assumption of …
processes without significant cointegrated correlations, which is a basic assumption of …
A lifecycle operating performance assessment framework for hot strip mill process based on robust kernel canonical variable analysis
C Zhang, K Peng, J Dong - Control Engineering Practice, 2021 - Elsevier
In the modern hot strip mill process (HSMP), the operating performance may deteriorate
because of wear of equipment, mode transitions, and random disturbances. If the process is …
because of wear of equipment, mode transitions, and random disturbances. If the process is …
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data
M Fang, H Kodamana, B Huang… - Computers & Chemical …, 2018 - Elsevier
Diagnosis of process operating modes is an important aspect of process monitoring. Due to
its ability to model process transitions, the Hidden Markov Model (HMM) is widely used as a …
its ability to model process transitions, the Hidden Markov Model (HMM) is widely used as a …
A two-layer fuzzy synthetic strategy for operational performance assessment of an industrial hydrocracking process
The operating performance may deteriorate from the optimal condition in industrial
hydrocracking process due to changes in product requirements, equipment performance …
hydrocracking process due to changes in product requirements, equipment performance …