Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm

J Leng, Y Zhong, Z Lin, K Xu, D Mourtzis, X Zhou… - Journal of Manufacturing …, 2023 - Elsevier
Manufacturers are increasingly aware of the importance of system resilience against
unexpected disruptive occurrences, such as the recent global Covid-19 pandemic and …

Fault detection and diagnosis of air brake system: A systematic review

Z Hou, CKM Lee, Y Lv, KL Keung - Journal of Manufacturing Systems, 2023 - Elsevier
The air brake system is critical for the proper functioning heavy commercial vehicles, and
maintaining its health is crucial to avoid unfortunate accident consequences. Due to the …

Leveraging error-assisted fine-tuning large language models for manufacturing excellence

L Xia, C Li, C Zhang, S Liu, P Zheng - Robotics and Computer-Integrated …, 2024 - Elsevier
The emergence of large language models (LLM), like GPT, is revolutionizing the field of
information retrieval, finding applications across a wide range of domains. However, the …

A dynamic updating method of digital twin knowledge model based on fused memorizing-forgetting model

S Liu, P Zheng, L Xia, J Bao - Advanced Engineering Informatics, 2023 - Elsevier
The customized manufacturing process of complex products (with complex structures and
production processes) involving randomness and dynamics, is facing the problem of high …

Exploiting a knowledge hypergraph for modeling multi-nary relations in fault diagnosis reports

X Li, F Zhang, Q Li, B Zhou, J Bao - Advanced Engineering Informatics, 2023 - Elsevier
Abstract Knowledge graphs (KG) demonstrate superiority in storing and exploiting massive
data and lesson-learned knowledge collected from equipment operation and maintenance …

CausalKGPT: industrial structure causal knowledge-enhanced large language model for cause analysis of quality problems in aerospace product manufacturing

B Zhou, X Li, T Liu, K Xu, W Liu, J Bao - Advanced Engineering Informatics, 2024 - Elsevier
The whole cycle for manufacturing aerospace thin-walled shells is a lengthy and
sophisticated process. A large amount of quality-related data exists within and between …

A visual reasoning-based approach for driving experience improvement in the AR-assisted head-up displays

Y Liang, P Zheng, L Xia - Advanced Engineering Informatics, 2023 - Elsevier
Enabled by advanced data analytics and intelligent computing, augmented reality head-up
displays (AR-HUDs) are appraised with a certain degree of intelligence towards an in-car …

Causal graph attention network with disentangled representations for complex systems fault detection

J Liu, S Zheng, C Wang - Reliability Engineering & System Safety, 2023 - Elsevier
Considering the importance of complex systems fault detection, much efforts have been
dedicated to fault feature extraction with monitoring data. The graph-based approach has …

A cyber-physical robotic mobile fulfillment system in smart manufacturing: The simulation aspect

KL Keung, CKM Lee, XIA Liqiao, LIU Chao… - Robotics and Computer …, 2023 - Elsevier
Incorporating mobile robots into the production shop-floor helps realize the concept of smart
production, and it is considered one of the approaches to enhance manufacturing and …

Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing

X Wang, M Liu, C Liu, L Ling, X Zhang - Expert Systems with Applications, 2023 - Elsevier
The service stability of industrial robots (IRs) is considered the basis for ensuring intelligent
manufacturing operations. Knowledge-based work plays a central role in the practical …