Fault Diagnosis Method of Rolling Bearing Based on 1D Multi-Channel Improved Convolutional Neural Network in Noisy Environment.

Guo H, Ping D, Wang L, Zhang W, Wu J, Ma X, Xu Q, Lu Z

Open source

DOI
10.3390/s25072286
Published
2025 Apr 4
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s25072286,
  title = {Fault Diagnosis Method of Rolling Bearing Based on 1D Multi-Channel Improved Convolutional Neural Network in Noisy Environment.},
  author = {Guo H and Ping D and Wang L and Zhang W and Wu J and Ma X and Xu Q and Lu Z},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25072286},
  url = {https://doi.org/10.3390/s25072286}
}

RIS

TY  - JOUR
TI  - Fault Diagnosis Method of Rolling Bearing Based on 1D Multi-Channel Improved Convolutional Neural Network in Noisy Environment.
AU  - Guo H
AU  - Ping D
AU  - Wang L
AU  - Zhang W
AU  - Wu J
AU  - Ma X
AU  - Xu Q
AU  - Lu Z
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25072286
UR  - https://doi.org/10.3390/s25072286
ER  -

APA

H, G., D, P., L, W., W, Z., J, W., X, M., Q, X., & Z, L. (2025). Fault Diagnosis Method of Rolling Bearing Based on 1D Multi-Channel Improved Convolutional Neural Network in Noisy Environment.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25072286

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