On-Line Monitoring and Defects Detection of Robotic Arc Welding: A Review and Future Challenges

Zhang, Zhifen; Wen, Guangrui; Chen, Shanben

doi:10.1007/978-981-13-8668-8_1

Cited by 3 publications

(1 citation statement)

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“…Lu [10] aimed at the fields of weld seam recognition and positioning, and introduced the development of some advanced sensors. Zhang [11] provided a comprehensive overview of the most recent sensing technologies used in the quality monitoring of arc welding. The focus of previous reviews was mainly on summarizing the characteristics of different sensing technologies and the differences in application fields, and rarely classified and summarized them from the perspective of signal processing and feature extraction.…”

Section: Introductionmentioning

confidence: 99%

Review on the Application of the Attention Mechanism in Sensing Information Processing for Dynamic Welding Processes

Xu,

Liu,

et al. 2024

JMMP

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Arc welding is the common method used in traditional welding, which constitutes the majority of total welding production. The traditional manual and manual teaching welding method has problems with high labor costs and limited efficiency when faced with mass production. With the advancement in technology, intelligent welding technology is expected to become a solution to this problem in the future. To achieve the intelligent welding process, modern sensing technology can be employed to effectively simulate the welder’s sensory perception and cognitive abilities. Recent studies have advanced the application of sensing technologies, leading to the advancement in intelligent welding process. The review is divided into two aspects. First, the theory and applications of various sensing technologies (visual, sound, arc, spectral signal, etc.) are summarized. Then, combined with the generalization of neural networks and attention mechanisms, the development trends in welding sensing information processing and modeling technology are discussed. Based on the existing research results, the feasibility, advantages, and development direction of attention mechanisms in the welding field are analyzed. In the end, a brief conclusion and remarks are presented.

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Section: Introductionmentioning

confidence: 99%