Cargando…
Multi-Sensor Data Fusion for Real-Time Surface Quality Control in Automated Machining Systems
Multi-sensor data fusion systems entail the optimization of a wide range of parameters related to the selection of sensors, signal feature extraction methods, and predictive modeling techniques. The monitoring of automated machining systems enables the intelligent supervision of the production proce...
Autores principales: | García Plaza, E., Núñez López, P. J., Beamud González, E. M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308399/ https://www.ncbi.nlm.nih.gov/pubmed/30544961 http://dx.doi.org/10.3390/s18124381 |
Ejemplares similares
-
Electropolishing Stainless Steel Optimization Using Surface Quality, Dimensional Accuracy, and Electrical Consumption Criteria
por: Beamud-González, Elena María, et al.
Publicado: (2023) -
Real-Time Hybrid Multi-Sensor Fusion Framework for Perception in Autonomous Vehicles
por: Shahian Jahromi, Babak, et al.
Publicado: (2019) -
Multi-Sensor Data Fusion in A Real-Time Support System for On-Duty Firefighters
por: Pham, Van Thanh, et al.
Publicado: (2019) -
Automated multivariate analysis of multi-sensor data submitted online: Real-time environmental monitoring
por: Eide, Ingvar, et al.
Publicado: (2018) -
An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis
por: Leite, Denis, et al.
Publicado: (2022)