[HTML][HTML] Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries

S Ma, W Ding, Y Liu, S Ren, H Yang - Applied energy, 2022 - Elsevier
Abstract Internet of Things (IoT) technology, which has made manufacturing processes more
smart, efficient and sustainable, has received increasing attention from the industry and …

[HTML][HTML] Evaluation of corporate requirements for smart manufacturing systems using predictive analytics

R Sharma, B Villányi - Internet of Things, 2022 - Elsevier
Smart manufacturing systems (SMS) are one of the most important applications in the
Industry 4.0 era, offering numerous advantages over traditional production systems and …

A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing

M Liu, X Li, J Li, Y Liu, B Zhou, J Bao - Advanced Engineering Informatics, 2022 - Elsevier
Abstract The Industrial Internet of Things (IIoT) interconnects a large number of
interconnected sensors, actuators, and edge computing devices in the manufacturing …

A review of knowledge graph-based reasoning technology in the operation of power systems

R Liu, R Fu, K Xu, X Shi, X Ren - Applied Sciences, 2023 - mdpi.com
Knowledge graph (KG) technology is a newly emerged knowledge representation method in
the field of artificial intelligence. Knowledge graphs can form logical mappings from cluttered …

A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools

J Lv, X Li, Y Sun, Y Zheng, J Bao - Robotics and Computer-Integrated …, 2023 - Elsevier
Affected by COVID-19, the maintenance process of machine tools is significantly hindered,
while unmanned maintenance becomes an emerging trend in such background. So far …

Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph

X Shen, X Li, B Zhou, Y Jiang, J Bao - Advanced Engineering Informatics, 2023 - Elsevier
Compared with ordinary mass-produced apparel products, custom apparel products will
generate more data at each stage of their life cycle. Such data is in a highly dynamic state …

Towards safe and collaborative aerodrome operations: Assessing shared situational awareness for adverse weather detection with EEG-enabled Bayesian neural …

CY Yiu, KKH Ng, X Li, X Zhang, Q Li, HS Lam… - Advanced Engineering …, 2022 - Elsevier
Teams formulated by aviation professionals are essential in maintaining a safe and efficient
aerodrome environment. Nonetheless, the shared situational awareness between the flight …

Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates

S Yan, H Shao, Y Xiao, J Zhou, Y Xu, J Wan - Advanced Engineering …, 2022 - Elsevier
Recent research in semi-supervised fault diagnosis of machinery based on graph neural
networks (GNNs) still has some problems, such as insufficient label information mining …

A TRIZ-inspired knowledge-driven approach for user-centric smart product-service system: A case study on intelligent test tube rack design

D Chang, F Li, J Xue, L Zhang - Advanced engineering informatics, 2023 - Elsevier
With the advancement of information and communication technologies, smart product-
service system (PSS) has attracted increasing research attention to integrate diverse …

Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0

C Chen, T Wang, Y Zheng, Y Liu, H Xie, J Deng… - Advanced Engineering …, 2023 - Elsevier
Fault diagnosis is the key concern in the operation and maintenance of industrial assets. A
fault diagnosis knowledge graph (KG) can provide decision support to the engineers to …