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Deep learning-based anomaly-onset aware remaining useful life estimation of bearings
Remaining Useful Life (RUL) estimation of rotating machinery based on their degradation data is vital for machine supervisors. Deep learning models are effective and popular methods for forecasting when rotating machinery such as bearings may malfunction and ultimately break down. During healthy fun...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641573/ https://www.ncbi.nlm.nih.gov/pubmed/34909464 http://dx.doi.org/10.7717/peerj-cs.795 |