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...

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Detalles Bibliográficos
Autores principales: Fathi, Kiavash, van de Venn, Hans Wernher, Honegger, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

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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