Optimal Robust Time-Domain Feature-Based Bearing Fault and Stator Fault Diagnosis
In machine learning, the extraction of features is necessary for intelligent motor fault diagnosis. In industrial applications, it is necessary to identify the optimal number of features to differentiate various types of fault characteristics with less computational complexity and cost. However, mot...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2024-01-01
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| Seria: | IEEE Open Journal of the Industrial Electronics Society |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/10568251/ |
| Etykiety: |
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