Exploiting a knowledge hypergraph for modeling multi-nary relations in fault diagnosis reports-Reference-Cited by-同舟云学术

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

Published:2023-08 Issue: Volume:57 Page:102084
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Li Xinyu^ORCID,Zhang Fei,Li Qi,Zhou Bin,Bao Jinsong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference67 articles.

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2. Highly efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images;Li;IEEE Trans. Syst. Man. Cybern. Syst.,2022

3. Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network;Xia;Reliab. Eng. Syst. Saf.,2022

4. A hypernetwork-based context-aware approach for design lesson-learned knowledge proactive feedback in design for manufacturing;Ji;Adv. Eng. Informatics.,2022

5. Achieving cognitive mass personalization via the self-X cognitive manufacturing network: an industrial knowledge graph- and graph embedding-enabled pathway;Li;Engineering,2023

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