Academic Journal
Exploring a Cutting-Edge Framework for Bearing Fault Detection: A Synergistic Approach Integrating Statistical Analysis and Deep Learning Methods
| العنوان: | Exploring a Cutting-Edge Framework for Bearing Fault Detection: A Synergistic Approach Integrating Statistical Analysis and Deep Learning Methods |
|---|---|
| المؤلفون: | Siavash-Abkenari, Nazanin, Rahmani-Sane, Ghazal, Torkaman, Hossein, Alipoor, Ghasem |
| المصدر: | IEEE Journal of Emerging and Selected Topics in Industrial Electronics ; volume 5, issue 3, page 1226-1233 ; ISSN 2687-9735 2687-9743 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE) |
| سنة النشر: | 2024 |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1109/jestie.2024.3373313 |
| الاتاحة: | http://dx.doi.org/10.1109/jestie.2024.3373313 http://xplorestaging.ieee.org/ielx7/8847244/10588989/10460092.pdf?arnumber=10460092 |
| Rights: | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html ; https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037 |
| رقم الانضمام: | edsbas.A7D9B80F |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/jestie.2024.3373313 |
|---|