On-Device IoT-Based Predictive Maintenance Analytics Model: Comparing TinyLSTM and TinyModel from Edge Impulse

A precise prediction of the health status of industrial equipment is of significant importance to determine its reliability and lifespan. This prediction provides users information that is useful in determining when to service, repair, or replace the unhealthy equipment’s components. In the last dec...

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Detalles Bibliográficos
Autores principales: Mihigo, Irene Niyonambaza, Zennaro, Marco, Uwitonze, Alfred, Rwigema, James, Rovai, Marcelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317779/
https://www.ncbi.nlm.nih.gov/pubmed/35890854
http://dx.doi.org/10.3390/s22145174

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317779/
https://www.ncbi.nlm.nih.gov/pubmed/35890854
http://dx.doi.org/10.3390/s22145174

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