A deep learning approach for detecting drill bit failures from a small sound dataset
Abstract Monitoring the conditions of machines is vital in the manufacturing industry. Early detection of faulty components in machines for stopping and repairing the failed components can minimize the downtime of the machine. In this article, we present a method for detecting failures in drill mach...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-06-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-13237-7 |