Real-Time Defect Detection Scheme Based on Deep Learning for Laser Welding System
Author:
Affiliation:
1. School of Computer and Information, Hefei University of Technology, Hefei, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10198840/10132376.pdf?arnumber=10132376
Reference28 articles.
1. Development of Condition Monitoring System for Electric Resistance Spot Welding Used to Manufacture Railway Car Bodies
2. A State-of-the-Art Review of Laser Welding of Polymers - Part I: Welding Parameters
3. A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards
4. Effect of wire feeder force control on laser metal deposition process using coaxial laser head
5. Experimental investigation of temperature field, defects, and mechanical strength in dissimilar laser bonding of Ti6Al4V and polyethylene terephthalate
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