Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process

J de Jesús Rubio, E Lughofer, J Pieper, P Cruz… - Information …, 2021 - Elsevier
The Maglev process consists in a magnetic field geerated by the modulation of a coil current
which yields the sphere levitation. Foucault current is the current transmitted from the coil to …

Physics-informed gated recurrent graph attention unit network for anomaly detection in industrial cyber-physical systems

W Wu, C Song, J Zhao, Z Xu - Information Sciences, 2023 - Elsevier
Industrial cyber-physical systems (ICPSs) play an important role in many critical
infrastructures. To ensure the secure and reliable operation of ICPSs, this work presents a …

Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey

A Melo, MM Câmara, JC Pinto - Processes, 2024 - mdpi.com
This paper presents a comprehensive review of the historical development, the current state
of the art, and prospects of data-driven approaches for industrial process monitoring. The …

Smart anomaly detection and prediction for assembly process maintenance in compliance with industry 4.0

P Tanuska, L Spendla, M Kebisek, R Duris, M Stremy - Sensors, 2021 - mdpi.com
One of the big problems of today's manufacturing companies is the risks of the assembly line
unexpected cessation. Although planned and well-performed maintenance will significantly …

Multi-step attack detection in industrial control systems using causal analysis

Z Jadidi, J Hagemann, D Quevedo - Computers in Industry, 2022 - Elsevier
In the old generation of industrial control systems (ICSs), their sub-components
communicated within private networks and, therefore, it was assumed that ICSs are safe …

Search-based cost-sensitive hypergraph learning for anomaly detection

N Wang, Y Zhang, X Zhao, Y Zheng, H Fan, B Zhou… - Information …, 2022 - Elsevier
Detecting anomaly plays a vital role in ensuring the reliability and safety of many
applications. However, this task is challenging due to the unclear correlation underneath the …

Causal asymmetry analysis in the view of concept-cognitive learning by incremental concept tree

T Zhang, M Rong, H Shan, M Liu - Cognitive Computation, 2021 - Springer
Causal asymmetry is an important feature in the description of causality, and it has attracted
wide attention in the field of physics and philosophy. It hypothesizes that there is a pervasive …

A Systematic Literature Review of Unsupervised Fault Detection Approach for Complex Engineering System

NMM Sobran, ZH Ismail - Journal of Advanced Research in …, 2023 - semarakilmu.com.my
Monitoring complex engineering systems is an important countermeasure in managing the
risk of faulty events. Observing the response of each process flow will avoid further damages …

Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale

J Yu, X Yan - Information Sciences, 2022 - Elsevier
The interactions among the gauged data in most exiting real-life cases are correlative
inevitably given the complicated behavior of process systems, that is the observed input data …

Cyber-attack detection in water distribution systems based on blind sources separation technique

B Brentan, P Rezende, D Barros, G Meirelles… - Water, 2021 - mdpi.com
Service quality and efficiency of urban systems have been dramatically boosted by various
high technologies for real-time monitoring and remote control, and have also gained …