Data-driven fault diagnosis framework of taper roller bearings using statistically ranked feature sets and machine learning algorithms

A. Anwarsha, T. Narendiranath Babu

Open source

DOI: 10.1038/s41598-026-59073-x
Published: 2026-06-21
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-59073-x,
  title = {Data-driven fault diagnosis framework of taper roller bearings using statistically ranked feature sets and machine learning algorithms},
  author = {A. Anwarsha and T. Narendiranath Babu},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-59073-x},
  url = {https://doi.org/10.1038/s41598-026-59073-x}
}

RIS

TY  - JOUR
TI  - Data-driven fault diagnosis framework of taper roller bearings using statistically ranked feature sets and machine learning algorithms
AU  - A. Anwarsha
AU  - T. Narendiranath Babu
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-59073-x
UR  - https://doi.org/10.1038/s41598-026-59073-x
ER  -

APA

Anwarsha, A., & Babu, T. N. (2026). Data-driven fault diagnosis framework of taper roller bearings using statistically ranked feature sets and machine learning algorithms. Scientific Reports. https://doi.org/10.1038/s41598-026-59073-x

Source records

crossref · retrieved 2026-11-10T13:17:40.610Z