Classification of roller defects and damages based on Rayleigh wave signals and power spectrum images with specific sampling rate

Zhang Y, Liu Z, Zhou R, Shi W, Cao Y, Xiao B, Sun M.

DOI: 10.21203/rs.3.rs-6910730/v1
Published: 2025-10-29
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-6910730/v1,
  title = {Classification of roller defects and damages based on Rayleigh wave signals and power spectrum images with specific sampling rate},
  author = {Zhang Y and  Liu Z and  Zhou R and  Shi W and  Cao Y and  Xiao B and  Sun M.},
  year = {2025},
  doi = {10.21203/rs.3.rs-6910730/v1},
  url = {https://doi.org/10.21203/rs.3.rs-6910730/v1}
}

RIS

TY  - JOUR
TI  - Classification of roller defects and damages based on Rayleigh wave signals and power spectrum images with specific sampling rate
AU  - Zhang Y
AU  -  Liu Z
AU  -  Zhou R
AU  -  Shi W
AU  -  Cao Y
AU  -  Xiao B
AU  -  Sun M.
PY  - 2025
DO  - 10.21203/rs.3.rs-6910730/v1
UR  - https://doi.org/10.21203/rs.3.rs-6910730/v1
ER  -

APA

Y, Z., Z, L., R, Z., W, S., Y, C., B, X., & M., S. (2025). Classification of roller defects and damages based on Rayleigh wave signals and power spectrum images with specific sampling rate. https://doi.org/10.21203/rs.3.rs-6910730/v1

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europe-pmc · retrieved 2026-09-26T03:06:33.178Z