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Detecting Helical Gearbox Defects from Raw Vibration Signal Using Convolutional Neural Networks
A study on the gearbox (speed reducer) defect detection models built from the raw vibration signal measured by a triaxial accelerometer and based on convolutional neural networks (CNNs) is presented. Gear faults such as localized pitting, localized wear on helical pinion tooth flanks, and lubricant...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647615/ https://www.ncbi.nlm.nih.gov/pubmed/37960469 http://dx.doi.org/10.3390/s23218769 |