Di Wu
Orcid: 0000-0002-8460-0112Affiliations:
- 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 8 papers
between 2016 and 2020.
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Bibliography
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