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Noise-Robust Bearing Fault Diagnosis via Enhanced EFD and QPSOL-Optimized SVM

This paper presents an optimization‑driven framework for noise‑robust bearing fault diagnostics aimed at enhancing the reliability and design performance of rotating machinery systems. The proposed approach integrates an enhanced empirical ensemble Fourier decomposition (EEFD) with a support vector...

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Principais autores: Ao HungLinh, Doan BaoQuoc, Le HoaiQuoc
Formato: Artigo
Idioma:Inglês
Publicado em: EDP Sciences 2026-01-01
coleção:E3S Web of Conferences
Assuntos:
optimization
simulation-driven design
bearing fault diagnosis
qpsol algorithm
support vector machine (svm)
empirical ensemble fourier decomposition (eefd)
reliability engineering
Acesso em linha:https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/41/e3sconf_aiei2026_01007.pdf
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