Fatigue Damage Prediction Framework of The Boom System Based on Embedded Physical Information and Attention Mechanism BiLSTM Neural Network

FU Ling, SHE Lingjuan, YAN Dulei, ZHANG Peng, LONG Xiangyun

Journal of Mechanical Engineering ›› 2024, Vol. 60 ›› Issue (13) : 205-215.

PDF(1015 KB)
PDF(1015 KB)
Journal of Mechanical Engineering ›› 2024, Vol. 60 ›› Issue (13) : 205-215. DOI: 10.3901/JME.2024.13.205

Fatigue Damage Prediction Framework of The Boom System Based on Embedded Physical Information and Attention Mechanism BiLSTM Neural Network

    {{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}}, 2024, 60(13): 205-215 https://doi.org/10.3901/JME.2024.13.205

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(1015 KB)

Accesses

Citation

Detail
Sections
Recommended
　 Copyright © Journal of Mechanical Engineering, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd,.

/

〈 〉