个人信息Personal information
- 博士生导师
- 硕士生导师
- 教师拼音名称：Sun Hongchun
- 学历：博士研究生毕业
- 学位：博士
- 职称：副教授
- 在职信息：在职
- 毕业院校：东北大学
- 所属院系：机械工程与自动化学院
- 学科：机械设计及理论
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论文成果
- 1. Sihan Ma,Hongchun Sun*,Guixing Zhou,Sheng Gao.A real-time mechanical fault diagnosis approach based on lightweight architecture search considering industrial edge deployments.Engineering Applications of Artificial Intelligence,123.[JCR 一区]..10.1016/j.engappai.2023.106433,
- 2. H. C. Sun,,S.M. Lin,B. S. Yang.An Open Set Diagnosis Method for Rolling Bearing Faults Based on Prototype and Reconstructed Integrated Network.IEEE Transactions on Instrumentation and Measurement,72.10.1109/TIM.2022.3222494,
- 3. Gao S.,Sun H.C.*,Ma S.H..A fault diagnosis network based on domain adversarial learning and distribution matching for rotating machine vibration signal with noise and across-load conditions.JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING,45(1):
- 4. Yang B.S.,Sun H.C.*A zero-shot learning fault diagnosis method of rolling bearing based on extended semantic information under unknown conditions.JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING,45(1):
- 5. H Sun,X Cao,C Wang,S Gao,An interpretable anti-noise network for rolling bearing fault diagnosis based on FSWT.Measurement: Journal of the International Measurement Confederation,190(4):110698-110.10.1016/j.measurement.2022.110698,
- 6. H Sun,S Gao,S Ma,S Lin,A fault mechanism-based model for bearing fault diagnosis under non-stationary conditions without target condition samples.Measurement: Journal of the International Measurement Confederation,199111499.10.1016/j.measurement.2022.111499,
- 7. H Sun,C Wang,X Cao,An adaptive anti-noise gear fault diagnosis method based on attention residual prototypical network under limited samples.Applied Soft Computing,125(7):109120.10.1016/j.asoc.2022.109120,
- 8. C Wu,H Sun,S Lin,S Gao,Remaining useful life prediction of bearings with different failure types based on multi-feature and deep convolution transfer learning.Eksploatacja i Niezawodnosc,23(4):685 - 694.10.17531/ein.2021.4.11,
- 9. H Hong,L Ni,H Sun,Application and Prospect of MEMS Technology to Geophysics.1863 - 186.10.1109/NEMS51815.2021.9451455,
- 10. C Wang,H Sun,X Cao,Construction of the efficient attention prototypical net based on the time–frequency characterization of vibration signals under noisy small sample.Measurement: Journal of the International Measurement Confederation,179.10.1016/j.measurement.2021.109412,