Cargando…
Supervised Machine-Learning Methodology for Industrial Robot Positional Health Using Artificial Neural Networks, Discrete Wavelet Transform, and Nonlinear Indicators
Robotic systems are a fundamental part of modern industrial development. In this regard, they are required for long periods, in repetitive processes that must comply with strict tolerance ranges. Hence, the positional accuracy of the robots is critical, since degradation of this can represent a cons...
Autores principales: | Galan-Uribe, Ervin, Amezquita-Sanchez, Juan P., Morales-Velazquez, Luis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054698/ https://www.ncbi.nlm.nih.gov/pubmed/36991923 http://dx.doi.org/10.3390/s23063213 |
Ejemplares similares
-
Ripples in mathematics: the discrete wavelet transform
por: Jensen, Arne, et al.
Publicado: (2001) -
Discrete wavelet transformations: an elementary approach with applications
por: Van Fleet, Patrick
Publicado: (2008) -
Substructure recover by 3D Discrete Wavelet Transforms
por: Pagliaro, A, et al.
Publicado: (1998) -
Prediction of hot spots in protein–DNA binding interfaces based on discrete wavelet transform and wavelet packet transform
por: Sun, Yu, et al.
Publicado: (2023) -
Discrete wavelet transform de-noising in eukaryotic gene splicing
por: George, Tina P, et al.
Publicado: (2010)