Fault diagnosis of mechanical seals using graph neural networks with multi-sensor data fusion
Fault diagnosis of mechanical seals using graph neural networks with multi-sensor data fusion
About this item
Full title
Author / Creator
Zhu, Xiaoran , Wang, Jiahao , Wang, Binhui , Wang, Hao , Sheng, Ren and Zhai, Baozun
Publisher
London, England: SAGE Publications
Journal title
Language
English
Formats
Publication information
Publisher
London, England: SAGE Publications
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Scope and Contents
Contents
Mechanical seals are critical components in the mechanical industry, and their operational status directly impacts the performance of pumps, compressors, and other machinery. Therefore, conducting research on the fault diagnosis of mechanical seals is essential. To enhance the accuracy of the assessment model, we propose an integrated approach that...
Alternative Titles
Full title
Fault diagnosis of mechanical seals using graph neural networks with multi-sensor data fusion
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_243198a702da4e90bf9005db0bad8359
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_243198a702da4e90bf9005db0bad8359
Other Identifiers
ISSN
1687-8132
E-ISSN
1687-8140
DOI
10.1177/16878132251319141
