Multi-Segmentation Parallel CNN Model for Estimating Assembly Torque Using Surface Electromyography Signals

Multi-Segmentation Parallel CNN Model for Estimating Assembly Torque Using Surface Electromyography Signals

The precise application of tightening torque is one of the important measures to ensure accurate bolt connection and improvement in product assembly quality. Currently, due to the limited assembly space and efficiency, a wrench without the function of torque measurement is still an extensively used...

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Bibliographic Details
Main Authors: Chengjun Chen, Kai Huang, Dongnian Li, Zhengxu Zhao, Jun Hong
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
deep learning
assembly monitoring
surface electromyography signals
torque estimation
multi-segmentation parallel CNN model
Online Access:https://www.mdpi.com/1424-8220/20/15/4213

Internet

https://www.mdpi.com/1424-8220/20/15/4213

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