Real-time Quality Monitoring of Wire EDM Process Using Machine Learning
- DOI
- 10.18154/rwth-2026-08462
- Published
- 2026
- Container
- Not recorded
- Publisher
- RWTH Aachen University
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.18154/rwth-2026-08462,
title = {Real-time Quality Monitoring of Wire EDM Process Using Machine Learning},
author = {Paranjape, Akshay and Küpper, Ugur and Schulze Brock, Daniel and Schmitt, Robert H. and Ohlenforst, Markus and Peterek, Martin Joachim},
year = {2026},
doi = {10.18154/rwth-2026-08462},
url = {https://doi.org/10.18154/rwth-2026-08462}
}RIS
TY - JOUR TI - Real-time Quality Monitoring of Wire EDM Process Using Machine Learning AU - Paranjape, Akshay AU - Küpper, Ugur AU - Schulze Brock, Daniel AU - Schmitt, Robert H. AU - Ohlenforst, Markus AU - Peterek, Martin Joachim PY - 2026 DO - 10.18154/rwth-2026-08462 UR - https://doi.org/10.18154/rwth-2026-08462 ER -
APA
Akshay, P., Ugur, K., Daniel, S. B., H., S. R., Markus, O., & Joachim, P. M. (2026). Real-time Quality Monitoring of Wire EDM Process Using Machine Learning. https://doi.org/10.18154/rwth-2026-08462
Source records
- datacite · retrieved 2026-11-05T23:07:04.402Z