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Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework

In the last decades, data-driven methods have gained great popularity in the industry, supported by state-of-the-art advancements in machine learning. These methods require a large quantity of labeled data, which is difficult to obtain and mostly costly and challenging. To address these challenges,...

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Detalles Bibliográficos
Autores principales: Tnani, Mohamed-Ali, Subarnaduti, Paul, Diepold, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269670/
https://www.ncbi.nlm.nih.gov/pubmed/35808315
http://dx.doi.org/10.3390/s22134813