A New Bearing Fault Diagnosis Method Based on Deep Transfer Network and Supervised Joint Matching
In practical industrial environment, variable working condition can result in shifts in data distributions, and the labeled fault data in various working conditions is difficult to collect because rotating machines often works in normal status, and the insufficient labeled fault data brings data sam...
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| Главные авторы: | , , , |
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| Формат: | Статья |
| Язык: | английский |
| Опубликовано: |
IEEE
2024-01-01
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| Серии: | IEEE Photonics Journal |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/10506734/ |
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