TY  - JOUR 
AU  - El Bouharrouti, Nada
AU  - Moríñigo Sotelo, Daniel
AU  - Belahcen, Anouar
PY  - 2023
SN  - 2075-1702
UR  - https://uvadoc.uva.es/handle/10324/67988
AB  - Vibration signals carry important information about the health state of a ball bearing and have proven their efficiency in training machine learning models for fault diagnosis. However, the sampling rate and frequency resolution of these acquired...
LA  - eng
PB  - MDPI
KW  - Machinery - Monitoring
KW  - Sistema de Monitoreo
KW  - Sampling (Statistics)
KW  - Mechanical engineering
KW  - Electrical engineering
KW  - Machine learning
KW  - Aprendizaje automático
KW  - Vibration
TI  - Multi-rate vibration signal analysis for bearing fault detection in induction machines using supervised learning classifiers
DO  - 10.3390/machines12010017
ER  -