Toward a Human-Cyber-Physical System for Real-Time Anomaly Detection

B Bajic, A Rikalovic, N Suzic, V Piuri - IEEE Systems Journal, 2024 - ieeexplore.ieee.org
In recent years, researchers and practitioners have focused on Industry 4.0, emphasizing the
role of cyber-physical systems (CPSs) in manufacturing. However, the operationalization of …

Protecting cyber physical production systems using anomaly detection to enable self-adaptation

G Settanni, F Skopik, A Karaj… - 2018 IEEE Industrial …, 2018 - ieeexplore.ieee.org
The industrial world is going through its fourth revolution also known as Industry 4.0. Modern
industrial processes leverage advanced IT technologies to increase productivity and often …

Industrial big data analytics and cyber-physical systems for future maintenance & service innovation

J Lee, HD Ardakani, S Yang, B Bagheri - Procedia cirp, 2015 - Elsevier
With the rapid advancement of Information and Communication Technologies (ICT) and the
integration of advanced analytics into manufacturing, products and services, many industries …

An IoT-based and cloud-assisted AI-driven monitoring platform for smart manufacturing: design architecture and experimental validation

B Caiazzo, T Murino, A Petrillo, G Piccirillo… - Journal of …, 2023 - emerald.com
Purpose This work aims at proposing a novel Internet of Things (IoT)-based and cloud-
assisted monitoring architecture for smart manufacturing systems able to evaluate their …

Enhanced Anomaly Detection in Manufacturing Processes through Hybrid Deep Learning Techniques

KS Lee, SB Kim, HW Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Smart factory systems have been introduced to prevent the decline in overall equipment
effectiveness caused by the presence of defects within factory manufacturing equipment. In …

Cyber–physical systems framework for AI in smart manufacturing and maintenance

J Lee, W Li, YM Hsu, X Jia - Artificial Intelligence in Manufacturing, 2024 - Elsevier
This book chapter discusses the concept and application of the cutting-edge cyber–physical
systems (CPS) framework, and artificial intelligence (AI) technologies in smart manufacturing …

Intelligent Analytics in Cyber-Physical Systems

M Nayak, PP Pratihari, S Mahapatra… - Intelligent Analytics for …, 2023 - taylorfrancis.com
With today's competitive business environment, companies are faced with the challenge of
making timely decisions based on big data to improve productivity. The Lack of smart …

Big data needs and challenges in smart manufacturing: An industry-academia survey

D Winkler, A Korobeinykov, P Novák… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
The increasing availability of data in Smart Manufacturing opens new challenges and
required capabilities in the area of big data in industry and academia. Various organizations …

Special issue on automation analytics beyond industry 4.0: From hybrid strategy to zero-defect manufacturing

FT Cheng, CY Lee, MH Hung, L Mönch… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Most traditional industries or emerging countries may not be capable of directly transiting to
Industry 4.0. To fill the gap between as-is Industry 3.0 and to-be Industry 4.0, some disruptive …

Cyber-physical systems in the context of industry 4.0: A review, categorization and outlook

SJ Oks, M Jalowski, M Lechner, S Mirschberger… - Information Systems …, 2022 - Springer
Cyber-physical systems (CPS) offer great potential for the digital transformation of industrial
value creation in the context of Industry 4.0. They unify and integrate several technological …