Optimal design of submersible pumps based on deep learning and enhanced Bayesian optimization

ZHU Hong1, DAI Shenghui1, YANG Jin1, SONG Yu1, GU Yue2, LI Jiahao1

Journal of Vibration and Shock ›› 2026, Vol. 45 ›› Issue (10) : 107-117.

PDF(2614 KB)
PDF(2614 KB)
Journal of Vibration and Shock ›› 2026, Vol. 45 ›› Issue (10) : 107-117.
VIBRATION THEORY AND INTERDISCIPLINARY RESEARCH

Optimal design of submersible pumps based on deep learning and enhanced Bayesian optimization

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 45(10): 107-117

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(2614 KB)

Accesses

Citation

Detail
Sections
Recommended
Copyright © Journal of Vibration and Shock, All Rights Reserved.
Tel: 021-62821366　
E-mail：jvs@sjtu.edu.cn
Powered by Beijing Magtech Co. Ltd.

/

〈 〉