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Predictive Maintenance: An Autoencoder Anomaly-Based Approach for a 3 DoF Delta Robot
Performing predictive maintenance (PdM) is challenging for many reasons. Dealing with large datasets which may not contain run-to-failure data (R2F) complicates PdM even more. When no R2F data are available, identifying condition indicators (CIs), estimating the health index (HI), and thereafter, ca...
Autores principales: | Fathi, Kiavash, van de Venn, Hans Wernher, Honegger, Marcel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588519/ https://www.ncbi.nlm.nih.gov/pubmed/34770289 http://dx.doi.org/10.3390/s21216979 |
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