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Rolling bearing fault diagnosis based on multi-band feature map and improved SqueezeNet
更新时间：2026-01-28

    • Rolling bearing fault diagnosis based on multi-band feature map and improved SqueezeNet

    • “In the field of fault diagnosis, experts have proposed a fast, lightweight, and intelligent diagnostic model that optimizes diagnostic performance in noisy environments, providing a new solution for rolling bearing fault diagnosis.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 56, Issue 1, Pages: 96-108(2026)
    • 作者机构：

      1.沈阳航空航天大学 自动化学院，沈阳 110136

      2.沈阳飞机工业（集团）有限公司，沈阳 110000

    • DOI：10.13229/j.cnki.jdxbgxb.20240710    

      CLC： TH17;TP277

    • Received：25 June 2024，

      Published：01 January 2026

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  • FENG Zhi-gang,REN Meng-yuan,DONG Bing,et al.Rolling bearing fault diagnosis based on multi-band feature map and improved SqueezeNet[J].Journal of Jilin University(Engineering and Technology Edition),2026,56(01):96-108. DOI： 10.13229/j.cnki.jdxbgxb.20240710.

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