Real-Time Defect Identification in Automotive Brake Calipers Using PCA-Optimized Feature Extraction and Machine Learning.

Lee J, Woo U, Lee MH, Kim JY, Choi H, Oh T

DOI: 10.3390/s25216753
Published: 2025 Nov 4
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25216753,
  title = {Real-Time Defect Identification in Automotive Brake Calipers Using PCA-Optimized Feature Extraction and Machine Learning.},
  author = {Lee J and Woo U and Lee MH and Kim JY and Choi H and Oh T},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25216753},
  url = {https://doi.org/10.3390/s25216753}
}

RIS

TY  - JOUR
TI  - Real-Time Defect Identification in Automotive Brake Calipers Using PCA-Optimized Feature Extraction and Machine Learning.
AU  - Lee J
AU  - Woo U
AU  - Lee MH
AU  - Kim JY
AU  - Choi H
AU  - Oh T
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25216753
UR  - https://doi.org/10.3390/s25216753
ER  -

APA

J, L., U, W., MH, L., JY, K., H, C., & T, O. (2025). Real-Time Defect Identification in Automotive Brake Calipers Using PCA-Optimized Feature Extraction and Machine Learning.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25216753

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pubmed · retrieved 2026-09-25T13:38:18.562Z