Prediction of pulsed GTAW penetration status based on BP neural network and D-S evidence theory information fusion

Author:

Chen Bo,Wang Jifeng,Chen Shanben

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference19 articles.

1. Christner B, Lovell R, Campbell M (1998) Developing a GTAW penetration control system for the Titan IV program. Weld Met Fabr 66(3):29–38

2. Chen SB, Zhao DB, Wu L, Lou YJ (2000) Intelligent methodology for sensing, modeling and control of pulsed GTAW: part 2: butt joint welding. Weld J 79(6):164–174

3. Chen SB, Zhao DB, Wu L, Lou YJ (2000) Intelligent methodology for sensing, modeling and control of pulsed GTAW: part I—bead-on-plate welding. Weld J 79(6):151–163

4. Wang JJ, Lin T, Chen SB (2005) Obtaining weld pool vision information during aluminium alloy TIG welding. Int J Adv Manuf Tech 26(3):219–227

5. Fan CJ, Lv FL, Chen SB (2009) Visual sensing and penetration control in aluminum alloy pulsed GTA welding. Int J Adv Manuf Tech 42(1–2):126–137

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