Cargando…
A Gated Multiscale Multitask Learning Model Using Time-Frequency Representation for Health Assessment and Remaining Useful Life Prediction
Health assessment and remaining useful life prediction are usually seen as separate tasks in industrial systems. Some multitask models use common features to handle these tasks synchronously, but they lack the usage of the representation in different scales and time-frequency domain. A lack of balan...
Autores principales: | Wu, Tong, Chen, Tengpeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967891/ https://www.ncbi.nlm.nih.gov/pubmed/36850519 http://dx.doi.org/10.3390/s23041922 |
Ejemplares similares
-
Deep Learning-Based Remaining Useful Life Estimation of Bearings with Time-Frequency Information
por: Liu, Bingguo, et al.
Publicado: (2022) -
Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models
por: Sayyad, Sameer, et al.
Publicado: (2023) -
Effects of media multitasking frequency on a novel volitional multitasking paradigm
por: Lopez, Jesus J., et al.
Publicado: (2022) -
Multitask learning and benchmarking with clinical time series data
por: Harutyunyan, Hrayr, et al.
Publicado: (2019) -
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways
por: Wybo, Willem A. M., et al.
Publicado: (2023)