Multi-Sensor Data Fusion for Real-Time Surface Quality Control in Automated Machining Systems

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...

Full description

Bibliographic Details
Main Authors: E. García Plaza, P. J. Núñez López, E. M. Beamud González
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
surface quality control
multi-sensor data fusion
cutting forces
vibration
acoustic emission
signal feature extraction methods
predictive modeling techniques
Online Access:https://www.mdpi.com/1424-8220/18/12/4381

Internet

https://www.mdpi.com/1424-8220/18/12/4381

Similar Items