孙红春 - 东北大学 - 机械工程与自动化学院

个人简介

孙红春，副教授、硕士生导师。本硕博毕业于东北大学，东北大学信息科学与工程学院控制科学与工程专业博士后。主讲本科生课程《传感器与测试技术》、研究生课程《机械系统测试技术》、《机械测试与信号分析》。主编和参编国家级规划教材8部。主持和参与国家基金面上项目、国家973项目、重点研发项目、辽宁省攻关项目及企业横向课题近40项；负责完成的项目包括轧制生产线在线监测和健康评估系统、疲劳型测力传感器的研发、声发射信号的处理与分析、汽车零部件的自动检测系统研发以及现场装备的应力检测与分析和智能化故障检测系统等，相关研究成果已成功应用到钢厂、汽车零部件制造等企业和研究所，已申请多项专利和软著。以第一/通讯作者发表论文60篇，在Measurement、Int J Adv Manuf Technol ，Applied Soft Computing、IEEE Transactions On Instrumentation and Measurement等SCI/EI刊源论文近40篇，多个国际sci期刊审稿专家。

研究领域

设备智能运维、大数据下的故障诊断与趋势预估智能化测试系统的开发无损检测与探伤技术机械系统数字孪生技术应用

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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, 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, 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): 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): 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, 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, 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, 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, H Hong,L Ni,H Sun,Application and Prospect of MEMS Technology to Geophysics.1863 - 186.10.1109/NEMS51815.2021.9451455, 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, H Sun,Z Zhang,Sparse representation of vibration signals of rolling bearing based on K-SVD combined with DCT.,2021-July2908 - 291.10.23919/CCC52363.2021.9550352, C Wu,H Sun,Z Zhang,Stages prediction of the remaining useful life of rolling bearing based on regularized extreme learning machine.Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,235(22):6599 - 661.10.1177/09544062211009556,