A study on spot welding quality judgment based on improved generative adversarial network and auto-encoder

Wang, Bing

doi:10.1016/j.ymssp.2021.108318

Cited by 9 publications

(1 citation statement)

References 15 publications

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“…Generative adversarial network (GAN) includes two parts [10]: generator and discriminator, as shown in Figure 2.…”

Section: Generation Of S-n Data Based On Ganmentioning

confidence: 99%

Fatigue performance evaluation of stiffener‐to‐deck plate weld in orthotropic steel decks based on generative adversarial network

Liu,

Xin,

Liu

et al. 2023

ce papers

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The stiffener‐to‐deck plate welds are one of the weak areas of orthotropic steel decks (OSDs). Accurate evaluation of fatigue performance of stiffener‐to‐deck plate welds is important for the design and service of OSDs. Traditional fatigue performance evaluation method of stiffener‐to‐deck plate welds based on S‐N curves requires a large amount of experimental data as support. However, fatigue tests are time‐consuming and costly‐approach. In this paper, generative adversarial network (GAN) was used to augment hot spot stress range data and fatigue life of rib‐to‐deck welded joints based on a small amount of test data. Then, the least‐squares regression was used to fit S‐N curves base on original data and generated data. The fitted S‐N curves were compared with experimental curve. Compared with the S‐N curve fitted by a small amount of original data, the S‐N curve fitted by generated data is closer to the experimental result, which indicates that the fatigue data generated by GAN has the potential to be an effective tool in the fatigue performance evaluation of fatigue critical details.

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“…Generative adversarial network (GAN) includes two parts [10]: generator and discriminator, as shown in Figure 2.…”

Section: Generation Of S-n Data Based On Ganmentioning

confidence: 99%

Fatigue performance evaluation of stiffener‐to‐deck plate weld in orthotropic steel decks based on generative adversarial network

Liu,

Xin,

Liu

et al. 2023

ce papers

View full text Add to dashboard Cite

show abstract

Online estimation and characteristic analysis of double nugget diameters during aluminum/steel resistance spot welding process

Zhou,

Yu,

Ren

et al. 2024

J. Iron Steel Res. Int.

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Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement

Yang,

Jiang,

et al. 2024

Engineering Applications of Artificial Intelligence

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A study on spot welding quality judgment based on improved generative adversarial network and auto-encoder

Cited by 9 publications

References 15 publications

Fatigue performance evaluation of stiffener‐to‐deck plate weld in orthotropic steel decks based on generative adversarial network

Fatigue performance evaluation of stiffener‐to‐deck plate weld in orthotropic steel decks based on generative adversarial network

Online estimation and characteristic analysis of double nugget diameters during aluminum/steel resistance spot welding process

Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement

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