LLM-TSFD: An industrial time series human-in-the-loop fault diagnosis method based on a large language model.
Expert Syst. Appl., 2025
A Production-Logistics prediction method integrating Spatial-Temporal features in flexible production workshop for buffer allocation problem.
Comput. Ind. Eng., 2025
Adaptive planning of human-robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin.
J. Intell. Manuf., June, 2024
CarbonKG: Industrial Carbon Emission Knowledge Graph-Based Modeling and Application for Carbon Traceability of Complex Manufacturing Process.
J. Comput. Inf. Sci. Eng., 2024
Generation of human-robot collaboration disassembly sequences for end-of-life lithium-ion batteries based on knowledge graph.
Artif. Intell. Eng. Des. Anal. Manuf., 2024
A knowledge transfer method for human-robot collaborative disassembly of end-of-life power batteries based on augmented reality.
Artif. Intell. Eng. Des. Anal. Manuf., 2024
A blockchain-based interactive approach between digital twin-based manufacturing systems.
Comput. Ind. Eng., 2023
A MR-Assisted and Scene Perception System for Human-Robot Collaborative Disassembly of Power Batteries.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration.
Robotics Comput. Integr. Manuf., 2022
A reinforcement learning method for human-robot collaboration in assembly tasks.
Robotics Comput. Integr. Manuf., 2022
A strategy transfer approach for intelligent human-robot collaborative assembly.
Comput. Ind. Eng., 2022
Leveraging on causal knowledge for enhancing the root cause analysis of equipment spot inspection failures.
Adv. Eng. Informatics, 2022
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing.
Adv. Eng. Informatics, 2022
Cognition-driven Robot Decision Making Method in Human-robot Collaboration Environment.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Multi-scale Online Monitoring Method of Aerospace Products Assembly Workshop Based on Digital Twin.
Proceedings of the Digital Twins for Digital Transformation: Innovation in Industry, 2022
A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops.
Robotics Comput. Integr. Manuf., 2021
Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model.
Robotics Comput. Integr. Manuf., 2021
An adaptive evolutionary framework for the decision-making models of digital twin machining system.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
A digital twin-driven approach for the assembly-commissioning of high precision products.
Robotics Comput. Integr. Manuf., 2020
Real-time task processing for spinning cyber-physical production systems based on edge computing.
J. Intell. Manuf., 2020
ss5: A Neural Network-based Energy Consumption Prediction Model for Feature Selection and Paremeter Optimization of Winders.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020
The modelling and operations for the digital twin in the context of manufacturing.
Enterp. Inf. Syst., 2019