A Bearing Fault Diagnosis Model Based on a Simplified Wide Convolutional Neural Network and Random Forrest
Bearings play a crucial role in the complex mechanical systems of ships, and their operational status is closely related to vibration signals. Therefore, analyzing bearing signals plays an important role in the field of fault diagnosis. In order to solve the problems of low accuracy and slow respons...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2025-01-01
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| Серии: | Sensors |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/1424-8220/25/3/752 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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