An intelligent fault diagnosis method for breakers based on instance segmentation and temperature probability density analysis.

Mo Z, Han X, Yan Y, Bai W, Chen H, Ye D, Chen J, Li Y

Open source

DOI
10.1038/s41598-026-60154-0
Published
2026 Jun 29
Container
Scientific reports
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-026-60154-0,
  title = {An intelligent fault diagnosis method for breakers based on instance segmentation and temperature probability density analysis.},
  author = {Mo Z and Han X and Yan Y and Bai W and Chen H and Ye D and Chen J and Li Y},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-60154-0},
  url = {https://doi.org/10.1038/s41598-026-60154-0}
}

RIS

TY  - JOUR
TI  - An intelligent fault diagnosis method for breakers based on instance segmentation and temperature probability density analysis.
AU  - Mo Z
AU  - Han X
AU  - Yan Y
AU  - Bai W
AU  - Chen H
AU  - Ye D
AU  - Chen J
AU  - Li Y
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-60154-0
UR  - https://doi.org/10.1038/s41598-026-60154-0
ER  - 

APA

Z, M., X, H., Y, Y., W, B., H, C., D, Y., J, C., & Y, L. (2026). An intelligent fault diagnosis method for breakers based on instance segmentation and temperature probability density analysis.. Scientific reports. https://doi.org/10.1038/s41598-026-60154-0

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