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Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series
High-frequency (HF) signals are ubiquitous in the industrial world and are of great use for monitoring of industrial assets. Most deep-learning tools are designed for inputs of fixed and/or very limited size and many successful applications of deep learning to the industrial context use as inputs ex...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872732/ https://www.ncbi.nlm.nih.gov/pubmed/35181603 http://dx.doi.org/10.1073/pnas.2106598119 |