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DONG Hang, CONG Ming, ZHANG Yuming, CHEN Heping. Characteristic performance modeling method for weld pool based on KF-GPR[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(12): 49-52. DOI: 10.12073/j.hjxb.2018390296
Citation: DONG Hang, CONG Ming, ZHANG Yuming, CHEN Heping. Characteristic performance modeling method for weld pool based on KF-GPR[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(12): 49-52. DOI: 10.12073/j.hjxb.2018390296
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Characteristic performance modeling method for weld pool based on KF-GPR

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  • Received Date: August 20, 2017
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    • Abstract
  • To help an automatic welding machine on reasoning dynamic welding process, a Kalman Filter Gaussian Process Regression (KF-GPR) model was proposed, and its theoretical basis was annualized. A prediction model was established later. Compared to conventional statistic method, the KF-GRP method can better estimate the distributed form and parameters for a dynamic welding process, which had higher robustness and fault tolerance. TIG welding experiment of the 304 stainless steel was carried out to verify the method. Totally 8 423 pairs of experiment data were collected and used for the model. The modeling results showed the proposed KF-GPR can suppress noises and provide fast and accurate model, which is essential for future online control experiment.
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