Research on Fault Diagnosis of High-speed Train Axlebox Bearing Based on ITR-Net Multi-source Domain Transfer Learning

DENG Feiyue; DONG Shaofei; GU Xiaohui

doi:10.12454/j.jsuese.202400113

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Research on Fault Diagnosis of High-speed Train Axlebox Bearing Based on ITR-Net Multi-source Domain Transfer Learning

INTELLIGENCE INTERDISCIPLINARY SCIENCE AND ENGINEERING | 更新时间：2026-01-29

- Research on Fault Diagnosis of High-speed Train Axlebox Bearing Based on ITR-Net Multi-source Domain Transfer Learning
- “In the field of high-speed train axle box bearing fault diagnosis, researchers have proposed the ITR Net deep transfer learning method, which effectively improves the accuracy of bearing fault diagnosis under different working conditions and provides a new approach for the application of transfer learning in axle box bearing fault diagnosis.”
- Advanced Engineering Sciences Vol. 58, Issue 1, Pages: 324-333(2026)
- 作者机构：
  
  1.石家庄铁道大学机械工程学院，河北石家庄 050043
  2.石家庄铁道大学省部共建交通工程结构力学行为与系统安全国家重点实验室，河北石家庄 050043
- 作者简介：
- 基金信息：
- DOI：10.12454/j.jsuese.202400113
  CLC： TH212;TH213.3
- Received：17 February 2024，
  
  Revised：2024-04-26，
  
  Published Online：03 June 2024，
  
  Published：20 January 2026
- 稿件说明：
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邓飞跃,董少飞,顾晓辉.基于ITR-Net多源域迁移学习的高铁轴箱轴承故障诊断[J].工程科学与技术,2026,58(1):324‒333.

Deng Feiyue,Dong Shaofei,Gu Xiaohui.Research on fault diagnosis of high-speed train axlebox bearing based on ITR-NET multi-source domain transfer learning[J].Advanced Engineering Sciences,2026,58(1):324‒333.
邓飞跃,董少飞,顾晓辉.基于ITR-Net多源域迁移学习的高铁轴箱轴承故障诊断[J].工程科学与技术,2026,58(1):324‒333. DOI： 10.12454/j.jsuese.202400113.

Deng Feiyue,Dong Shaofei,Gu Xiaohui.Research on fault diagnosis of high-speed train axlebox bearing based on ITR-NET multi-source domain transfer learning[J].Advanced Engineering Sciences,2026,58(1):324‒333. DOI： 10.12454/j.jsuese.202400113.

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Research on Fault Diagnosis of High-speed Train Axlebox Bearing Based on ITR-Net Multi-source Domain Transfer Learning

DOI：10.12454/j.jsuese.202400113