Light-Weighted Deep Learning Model to Detect Fault in IoT-Based Industrial Equipment

Industry 4.0, with the widespread use of IoT, is a significant opportunity to improve the reliability of industrial equipment through problem detection. It is difficult to utilize a unified model to depict the working condition of devices in real-world industrial scenarios because of the complex and...

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Detalles Bibliográficos
Autores principales: Soni, Mukesh, Khan, Ihtiram Raza, Basir, Sameer, Chadha, Raman, Alguno, Arnold C., Bhowmik, Tapas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259252/
https://www.ncbi.nlm.nih.gov/pubmed/35814591
http://dx.doi.org/10.1155/2022/2455259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259252/
https://www.ncbi.nlm.nih.gov/pubmed/35814591
http://dx.doi.org/10.1155/2022/2455259

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