Di Wu

Orcid: 0000-0002-8460-0112

Affiliations:
  • Shanghai University of Engineering Science, Shanghai Collaborative Innovation Center of Laser Advanced Manufacturing Technology, Shanghai, China
  • Shanghai Jiao Tong University, School of Materials Science and Engineering, Shanghai Key Laboratory of Materials Laser Processing and Modification, China (PhD 2018)


According to our database1, Di Wu authored at least 9 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A performance comparison of deep learning and shallow machine learning in acoustic emission monitoring of aluminium alloy pulsed laser welding.
Soft Comput., September, 2024

2020
Visual-Acoustic Penetration Recognition in Variable Polarity Plasma Arc Welding Process Using Hybrid Deep Learning Approach.
IEEE Access, 2020

2019
Online Monitoring and Model-Free Adaptive Control of Weld Penetration in VPPAW Based on Extreme Learning Machine.
IEEE Trans. Ind. Informatics, 2019

Accurate characterization of weld appearance induced by T-joint laser stake-welding by integration of ANFIS approach and numerical simulation.
J. Intell. Fuzzy Syst., 2019

2016
Parameter Self-Optimizing Clustering for Autonomous Extraction of the Weld Seam Based on Orientation Saliency in Robotic MAG Welding.
J. Intell. Robotic Syst., 2016

Mixed logic dynamic model for the hybrid characteristics of the dual robotic welding process and system.
Proceedings of the 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, 2016

Weld penetration identification for VPPAW based on keyhole features and extreme learning machine.
Proceedings of the 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, 2016

The selection of arc spectral line of interest based on improved K-medoids algorithm.
Proceedings of the 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, 2016

Weld seam profile extraction of T-joints based on orientation saliency for path planning and seam tracking.
Proceedings of the 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, 2016


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