End-to-End Methodology for Predictive Maintenance Based on Fingerprint Routines and Anomaly Detection for Machine Tool Rotary Components
This work introduces an end-to-end methodology, from data gathering to fault notification, for the predictive maintenance of rotary components of machine tools. This is done through fingerprint routines; that is, processes that are executed periodically under the same no-load conditions to obtain a...
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Main Authors: | Amaia Arregi, Aitor Barrutia, Iñigo Bediaga |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Journal of Manufacturing and Materials Processing |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-4494/9/1/12 |
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