Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes

LM Elshenawy, C Chakour, TA Mahmoud - Journal of the Franklin institute, 2022 - Elsevier
Fault detection and diagnosis is crucial in recent industry sector to ensure safety and
reliability, and improve the overall equipment efficiency. Moreover, fault detection and …

[HTML][HTML] Progress of process monitoring for the multi-mode process: A review

J Ma, J Zhang - Applied Sciences, 2022 - mdpi.com
Multi-mode processing is a central feature of modern industry. The application of monitoring
technology to multi-mode processing is crucial to ensure process safety and to enhance …

Decentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring

B Xiao, Y Li, B Sun, C Yang, K Huang, H Zhu - Process Safety and …, 2021 - Elsevier
In order to ensure the long-term stable operation of a large-scale industrial process, it is
necessary to detect and solve the minor abnormal conditions in time. However, the large …

Conditional discriminative autoencoder and condition-driven immediate representation of soft transition for monitoring complex nonstationary processes

X Chen, C Zhao - Control Engineering Practice, 2022 - Elsevier
Real industrial processes show typical nonstationary characteristics due to the operating
condition switchings and production product changes. However, not all the switchings are …

A soft sensor model based on CNN-BiLSTM and IHHO algorithm for Tennessee Eastman process

Y Li, T Peng, W Sun, C Ji, Y Wang, Z Tao, C Zhang… - Measurement, 2023 - Elsevier
Accurate measurement of key variables plays an important role in on-line monitoring and
control optimization of industrial processes. Soft sensor provides an effective method for …

Adaptive sliding mode security control of wheeled mobile manipulators with Markov switching joints against adversarial attacks

B Jiang, Z Wu, Z Liu, B Li - Control Engineering Practice, 2023 - Elsevier
This paper deals with the security control problem of a wheeled mobile manipulator that is
subjected to various challenges, such as Markov switching parameters, actuator false data …

Dynamic related component analysis for quality-related process monitoring with applications to thermal power plants

Y Wang, D Zhou, M Chen - Control Engineering Practice, 2023 - Elsevier
For quality-related process monitoring, the current approaches, such as partial least square
(PLS) and its variants, often misjudge quality-unrelated anomalies as quality-related …

Variable partition based parallel dictionary learning for linearity and nonlinearity coexisting dynamic process monitoring

C Yang, J Zhang, D Wu, K Huang, W Gui - Control Engineering Practice, 2024 - Elsevier
In practical industrial processes with complex mechanisms, there are both linear and
nonlinear relationships between process variables. However, focusing solely on one of …

Energy consumption mode identification and monitoring method of process industry system under unstable working conditions

M Zhu, Y Ji, X Zhu, K Ren - Advanced Engineering Informatics, 2023 - Elsevier
Process industry systems under unstable working conditions are prone to potential
anomalies, deviating from the original transition trajectory, and taking longer than expected …

Robust probabilistic principal component regression with switching mixture Gaussian noise for soft sensing

A Sadeghian, NM Jan, O Wu, B Huang - Chemometrics and Intelligent …, 2022 - Elsevier
In the era, that data collection is not as challenging as before, data-driven process modeling
for prediction of unmeasurable or expensive-to-measure variables is gaining popularity …