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Health Condition Estimation of Bearings with Multiple Faults by a Composite Learning-Based Approach
Bearings are critical components found in most rotating machinery; their health condition is of immense importance to many industries. The varied conditions and environments in which bearings operate make them prone to single and multiple faults. Widespread interest in the improvements of single fau...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271386/ https://www.ncbi.nlm.nih.gov/pubmed/34203372 http://dx.doi.org/10.3390/s21134424 |