Optimization of the Fabrication of Cold Drawn Steel Wire Through Classification and Clustering Machine Learning Algorithms

Optimization of the Fabrication of Cold Drawn Steel Wire Through Classification and Clustering Machine Learning Algorithms

The demanding deformations steel is subjected to during drawing may result in the breakage of the wire. The hypothesis of this research is that drawing failure is not a random event but can be predicted using a suitable approach. Machine Learning classification and clustering algorithms have been im...

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Bibliographic Details
Main Authors: Estela Ruiz, Miguel Cuartas, Diego Ferreno, Laura Romero, Valentin Arroyo, Federico Gutierrez-Solana
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cold drawing
steel wire
machine learning
classification
clustering
imbalanced dataset
Online Access:https://ieeexplore.ieee.org/document/8846202/

Internet

https://ieeexplore.ieee.org/document/8846202/

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