[HTML][HTML] An adaptive metaheuristic optimization approach for Tennessee Eastman process for an industrial fault tolerant control system

FE Mustafa, I Ahmed, A Basit, M Alqahtani, M Khalid - Plos one, 2024 - journals.plos.org
The Tennessee Eastman Process (TEP) is widely recognized as a standard reference for
assessing the effectiveness of fault detection and false alarm tracking methods in intricate …

Advanced statistical and meta-heuristic based optimization fault diagnosis techniques in complex industrial processes: a comparative analysis

AQ Khan, A Samee, I Ahmed, M Abid… - IEEE …, 2023 - ieeexplore.ieee.org
Industrial processes are nonlinear and complicated in nature, requiring accurate fault
detection to minimize the deterioration in performance and to respond quickly to …

[HTML][HTML] Developing a hybrid algorithm based on an equilibrium optimizer and an improved backpropagation neural network for fault warning

J Liu, C Zhan, H Wang, X Zhang, X Liang, S Zheng… - Processes, 2023 - mdpi.com
In today's rapidly evolving manufacturing landscape with the advent of intelligent
technologies, ensuring smooth equipment operation and fostering stable business growth …

Data-driven fault detection for industrial processes

Z Chen - Journal of Process Control, 2017 - Springer
In order to maximize the customer satisfaction and profit as well as to obey government
regulations, the complexity and automation degree of modern industrial processes are …

A variable mosquito flying optimization‐based hybrid artificial neural network model for the alarm tuning of process fault detection systems

M Alauddin, F Khan, S Imtiaz… - Process Safety …, 2020 - Wiley Online Library
Chemical process systems are becoming extremely complex due to increased automation,
heat and mass intensification, and expectation of higher efficiency. Many fault detection and …

[HTML][HTML] A Fault Warning Approach Using an Enhanced Sand Cat Swarm Optimization Algorithm and a Generalized Neural Network

Y Pi, Y Tan, AM Golmohammadi, Y Guo, Y Xiao… - Processes, 2023 - mdpi.com
With the continuous development and complexity of industrial systems, various types of
industrial equipment and systems face increasing risks of failure during operation. Important …

[HTML][HTML] High efficiency fault-detection and fault-tolerant control approach in Tennessee Eastman process via fuzzy-based neural network representation

M Adeli, AH Mazinan - Complex & Intelligent Systems, 2020 - Springer
We looked at the background of fault-detection and fault-tolerant control algorithms to
propose a new high efficiency one with a focus on Tennessee Eastman process through …

Fault detection using Fourier neural operator

J Rani, T Tripura, U Goswami, H Kodamana… - Computer Aided …, 2023 - Elsevier
In order to generate higher-quality products and increase process efficiency, there has been
a strong push in the processing and manufacturing sectors. This has called for the creation …

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

S Yin, SX Ding, A Haghani, H Hao, P Zhang - Journal of process control, 2012 - Elsevier
This paper provides a comparison study on the basic data-driven methods for process
monitoring and fault diagnosis (PM–FD). Based on the review of these methods and their …

Dynamic optimization based fault accommodation

Y Huang, GV Reklaitis… - Computers & Chemical …, 2000 - Elsevier
Fault diagnosis is an important aspect of process operations. There is an abundance of
literature on fault diagnosis for process industries. So far most of the work is focussed on …