Remaining useful life prediction of mechanical equipment based on attention kernel dynamic time warping.

Qin Y, Qin L, Lv J, Gu X

Open source

DOI
10.1038/s41598-026-58197-4
Published
2026 Jul 15
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58197-4,
  title = {Remaining useful life prediction of mechanical equipment based on attention kernel dynamic time warping.},
  author = {Qin Y and Qin L and Lv J and Gu X},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-58197-4},
  url = {https://doi.org/10.1038/s41598-026-58197-4}
}

RIS

TY  - JOUR
TI  - Remaining useful life prediction of mechanical equipment based on attention kernel dynamic time warping.
AU  - Qin Y
AU  - Qin L
AU  - Lv J
AU  - Gu X
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-58197-4
UR  - https://doi.org/10.1038/s41598-026-58197-4
ER  - 

APA

Y, Q., L, Q., J, L., & X, G. (2026). Remaining useful life prediction of mechanical equipment based on attention kernel dynamic time warping.. Scientific reports. https://doi.org/10.1038/s41598-026-58197-4

Source records