Analysis of safety and security challenges and opportunities related to cyber-physical systems

AH El-Kady, S Halim, MM El-Halwagi, F Khan - Process Safety and …, 2023 - Elsevier
A cyber-physical system (CPS) is an interconnected physical system that can be monitored,
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …

Security perspective analysis of industrial cyber physical systems (I-CPS): A decade-wide survey

N Agrawal, R Kumar - ISA transactions, 2022 - Elsevier
Considering the exceptional growth of Cyber Physical Systems (CPSs), multiple and
potentially grave security challenges have emerged in this field. Different vulnerabilities and …

Parallel simulated annealing with a greedy algorithm for Bayesian network structure learning

S Lee, SB Kim - IEEE Transactions on Knowledge and Data …, 2019 - ieeexplore.ieee.org
We present a hybrid algorithm called parallel simulated annealing with a greedy algorithm
(PSAGA) to learn Bayesian network structures. This work focuses on simulated annealing …

Knowledge modeling: A survey of processes and techniques

W Yun, X Zhang, Z Li, H Liu… - International Journal of …, 2021 - Wiley Online Library
Abstract Knowledge modeling is an important step in building knowledge‐based
applications. Understanding the processes of knowledge modeling and the techniques …

Deep learning-enabled intelligent process planning for digital twin manufacturing cell

C Zhang, G Zhou, J Hu, J Li - Knowledge-Based Systems, 2020 - Elsevier
The transition to intelligent manufacturing provides a fulcrum for the revolution of product
lifecycle like design, manufacturing and maintenance, so does it for process planning …

An integrative machine learning method to improve fault detection and productivity performance in a cyber-physical system

MC Chiu, CD Tsai, TL Li - … of Computing and …, 2020 - asmedigitalcollection.asme.org
A cyber-physical system (CPS) is one of the key technologies of industry 4.0. It is an
integrated system that merges computing, sensors, and actuators, controlled by computer …

Fault diagnosis of power-shift system in continuously variable transmission tractors based on improved Echo State Network

G Wang, L Xue, Y Zhu, Y Zhao, H Jiang… - Engineering Applications of …, 2023 - Elsevier
For better reliability of tractors with continuously variable transmission, reported here is fault
diagnosis of their power-shift systems. First, four hydraulic system faults are analyzed, ie …

From knowledge based vision systems to cognitive vision systems: a review

T de Souza Alves, CS de Oliveira, C Sanin… - Procedia Computer …, 2018 - Elsevier
Computer vision research and applications have their origins in 1960s. Limitations in
computational resources inherent of that time, among other reasons, caused research to …

A novel method of combining nonlinear frequency spectrum and deep learning for complex system fault diagnosis

L Chen, Z Zhang, J Cao, X Wang - Measurement, 2020 - Elsevier
A novel fault diagnosis method is proposed for complex systems by combining nonlinear
frequency spectrum and stacked denoising auto-encoders (SDAE). In order to solve the …

Classifying network abnormalities into faults and attacks in IoT-based cyber physical systems using machine learning

G Tertytchny, N Nicolaou, MK Michael - Microprocessors and Microsystems, 2020 - Elsevier
Abstract Cyber Physical Systems (CPS) integrate physical processes with electronic
computing devices and digital communication channels. Their proper operation might be …