Optimization-enhanced machine failure classification using critical sensor features and hybrid learning models with advanced optimization techniques.
- DOI
- 10.1038/s41598-026-63417-y
- Published
- 2026 Jul 21
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-63417-y,
title = {Optimization-enhanced machine failure classification using critical sensor features and hybrid learning models with advanced optimization techniques.},
author = {Tang J and Chai J and Dai J and Feng J and Tian R and Mei J and Zhang L},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-63417-y},
url = {https://doi.org/10.1038/s41598-026-63417-y}
}RIS
TY - JOUR TI - Optimization-enhanced machine failure classification using critical sensor features and hybrid learning models with advanced optimization techniques. AU - Tang J AU - Chai J AU - Dai J AU - Feng J AU - Tian R AU - Mei J AU - Zhang L PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-63417-y UR - https://doi.org/10.1038/s41598-026-63417-y ER -
APA
J, T., J, C., J, D., J, F., R, T., J, M., & L, Z. (2026). Optimization-enhanced machine failure classification using critical sensor features and hybrid learning models with advanced optimization techniques.. Scientific reports. https://doi.org/10.1038/s41598-026-63417-y
Source records
- pubmed · retrieved 2026-09-26T08:18:33.455Z