Rolling Bearing Fault Detection using Deep Learning Model: Intelligent Manufacturing Industry 4.0 / 5.0
- DOI
- 10.59324/stss.2024.1(3).06
- Published
- 2024-12-01
- Container
- Scientia. Technology, Science and Society
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.59324/stss.2024.1-3-.06,
title = {Rolling Bearing Fault Detection using Deep Learning Model: Intelligent Manufacturing Industry 4.0 / 5.0},
author = {Ahmad Sarwar and Dua Sarwar and Muhammad Usman Shams and Muhammad Islam and Muhammad Jahanzaib Afzal and Amsh Bin Yasir},
year = {2024},
journal = {Scientia. Technology, Science and Society},
doi = {10.59324/stss.2024.1(3).06},
url = {https://doi.org/10.59324/stss.2024.1(3).06}
}RIS
TY - JOUR TI - Rolling Bearing Fault Detection using Deep Learning Model: Intelligent Manufacturing Industry 4.0 / 5.0 AU - Ahmad Sarwar AU - Dua Sarwar AU - Muhammad Usman Shams AU - Muhammad Islam AU - Muhammad Jahanzaib Afzal AU - Amsh Bin Yasir PY - 2024 JO - Scientia. Technology, Science and Society DO - 10.59324/stss.2024.1(3).06 UR - https://doi.org/10.59324/stss.2024.1(3).06 ER -
APA
Sarwar, A., Sarwar, D., Shams, M. U., Islam, M., Afzal, M. J., & Yasir, A. B. (2024). Rolling Bearing Fault Detection using Deep Learning Model: Intelligent Manufacturing Industry 4.0 / 5.0. Scientia. Technology, Science and Society. https://doi.org/10.59324/stss.2024.1(3).06
Source records
- hal · retrieved 2026-11-10T11:04:16.492Z