Fault Diagnosis Method of Wind Turbine Rolling Bearing Based on Improved Deep Residual Shrinkage Network

BIAN Wenbin, DENG Aidong, LIU Dongchuan, ZHAO Min, LIU Yang, LI Jing

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (12) : 202-214.

PDF(940 KB)
PDF(940 KB)
Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (12) : 202-214. DOI: 10.3901/JME.2023.12.202

Fault Diagnosis Method of Wind Turbine Rolling Bearing Based on Improved Deep Residual Shrinkage 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}}, 2023, 59(12): 202-214 https://doi.org/10.3901/JME.2023.12.202

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(940 KB)

Accesses

Citation

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

/

〈 〉