IDS-KG: An industrial dataspace-based knowledge graph construction approach for smart maintenance

Y Wang, Y Cheng, Q Qi, F Tao - Journal of Industrial Information Integration, 2024 - Elsevier
With the development of information technology in manufacturing enterprises, a large
amount of equipment maintenance data and knowledge are recorded. These rich …

A Semi-Supervised Failure Knowledge Graph Construction Method for Decision Support in Operations and Maintenance

Y Ding, H Li, F Zhu, Z Wang, W Peng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Maintenance logs of industrial equipment record descriptive and unstructured operation and
maintenance (O&M) information, which is the basis of reliability, availability, and …

Knowledge graph construction for intelligent maintenance of power plants

Y Du, J Huang, S Tao, H Wang - Advances in E-Business Engineering for …, 2020 - Springer
The intelligent maintenance of power plants greatly relies upon previous experiences and
historical information to make informed decisions. Previous research is predominantly …

[HTML][HTML] Knowledge Graph Construction Based on a Joint Model for Equipment Maintenance

P Lou, D Yu, X Jiang, J Hu, Y Zeng, C Fan - Mathematics, 2023 - mdpi.com
Under the background of intelligent manufacturing, industrial systems are developing in a
more complex and intelligent direction. Equipment maintenance management is facing …

[HTML][HTML] A solution and practice for combining multi-source heterogeneous data to construct enterprise knowledge graph

C Yan, X Fang, X Huang, C Guo, J Wu - Frontiers in big Data, 2023 - ncbi.nlm.nih.gov
The knowledge graph is one of the essential infrastructures of artificial intelligence. It is a
challenge for knowledge engineering to construct a high-quality domain knowledge graph …

A knowledge graph-based link prediction for interpretable maintenance planning in complex equipment

L Xia, P Zheng, S Li, P Lyu, CKM Lee… - … , and Safety (ICRMS), 2022 - ieeexplore.ieee.org
Maintenance planning is a significant part of predictive maintenance, which involves task
planning, resource scheduling, and prevention. Many data points will be collected during the …

[PDF][PDF] Exploration of the construction and application of knowledge graph in equipment failure

Y Lu, Y Wen, X Li, B Liu - DEStech Transactions on Computer …, 2017 - researchgate.net
Based on a large amount of engineering machinery fault data collected by Tianyuan Co.,
this paper provides its formal definition aiming at the fault knowledge graph. This paper has …

A knowledge graph-based approach for exploring railway operational accidents

J Liu, F Schmid, K Li, W Zheng - Reliability engineering & system safety, 2021 - Elsevier
Drawing lessons from past accidents is an essential way to improve the operational safety of
railways. Various railway operational accidents and their related hazards constitute a …

A tutorial and survey on fault knowledge graph

XQ Wang, SK Yang - Cyberspace Data and Intelligence, and Cyber-Living …, 2019 - Springer
Abstract Knowledge Graph (KG) is a graph-based data structure that can display the
relationship between a large number of semi-structured and unstructured data, and can …

Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction for industrial domain

Z Han, J Wang - Frontiers of Engineering Management, 2024 - Springer
With the escalating complexity in production scenarios, vast amounts of production
information are retained within enterprises in the industrial domain. Probing questions of …