Imbalanced Fault Diagnosis of Rolling Bearing Using Data Synthesis Based on Multi-Resolution Fusion...
Imbalanced Fault Diagnosis of Rolling Bearing Using Data Synthesis Based on Multi-Resolution Fusion Generative Adversarial Networks
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Fault diagnosis of industrial bearings plays an invaluable role in the health monitoring of rotating machinery. In practice, there is far more normal data than faulty data, so the data usually exhibit a highly skewed class distribution. Algorithms developed using unbalanced datasets will suffer from severe model bias, reducing the accuracy and stab...
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Full title
Imbalanced Fault Diagnosis of Rolling Bearing Using Data Synthesis Based on Multi-Resolution Fusion Generative Adversarial Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_3c43a72950904b5ebdf78c925f90a92c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3c43a72950904b5ebdf78c925f90a92c
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ISSN
2075-1702
E-ISSN
2075-1702
DOI
10.3390/machines10050295
