Multi-Modal Learning-Based Equipment Fault Prediction in the Internet of Things

The timely detection of equipment failure can effectively avoid industrial safety accidents. The existing equipment fault diagnosis methods based on single-mode signal not only have low accuracy, but also have the inherent risk of being misled by signal noise. In this paper, we reveal the possibilit...

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Detalles Bibliográficos
Autores principales: Nan, Xin, Zhang, Bo, Liu, Changyou, Gui, Zhenwen, Yin, Xiaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504899/
https://www.ncbi.nlm.nih.gov/pubmed/36146071
http://dx.doi.org/10.3390/s22186722

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504899/
https://www.ncbi.nlm.nih.gov/pubmed/36146071
http://dx.doi.org/10.3390/s22186722

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