Towards Early Damage Detection during the Disassembly of Threaded Fasteners using Machine Learning

Blümel, Richard, Raatz, Annika

DOI: 10.15488/17499
Published: 2023
Container: Not recorded
Publisher: Amsterdam [u.a.] : Elsevier
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.15488/17499,
  title = {Towards Early Damage Detection during the Disassembly of Threaded Fasteners using Machine Learning},
  author = {Blümel, Richard and Raatz, Annika},
  year = {2023},
  doi = {10.15488/17499},
  url = {https://doi.org/10.15488/17499}
}

RIS

TY  - JOUR
TI  - Towards Early Damage Detection during the Disassembly of Threaded Fasteners using Machine Learning
AU  - Blümel, Richard
AU  - Raatz, Annika
PY  - 2023
DO  - 10.15488/17499
UR  - https://doi.org/10.15488/17499
ER  -

APA

Richard, B., & Annika, R. (2023). Towards Early Damage Detection during the Disassembly of Threaded Fasteners using Machine Learning. https://doi.org/10.15488/17499

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datacite · retrieved 2026-11-10T05:59:50.255Z