科研工作:

信号的稀疏表示原理、凸优化和非凸优化理论、深度对抗学习、海洋信号分析、机电系统特征和状态辨识 [1] Zhaohui Du, Xuefeng Chen, Han Zhang. Sparse Feature Identification Based on Union of Redundant Dictionary for Wind Turbine Gearbox Fault Diagnosis [J], IEEE Transactions on Industrial Electronics., vol. 62, no. 10, pp. 6549-6605, Oct, 2015. （SCI: CR7MK. 中科院1区Top期刊，影响因子: 7.168）[2] Zhaohui Du, Xuefeng Chen, Han Zhang, Ruqiang Yan, Wotao Yin, Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition, IEEE Transactions on Industrial Informatics, 2017. (SCI: Online access, DOI: 10.1109/TII.2017.2777144.中科院1区Top期刊，影响因子: 6.764)[3] Zhaohui Du, Xuefeng Chen, Han Zhang, et al. Compressed Sensing Based Periodic Impulsive Feature Detection for Wind Turbine Systems [J], IEEE Transactions on Industrial Informatics (2017). (SCI online access, DOI: 10.1109/TII.2017.2666840.中科院1区Top期刊，影响因子: 6.764)[4] Xuefeng Chen, Zhaohui Du, Jimeng Li, et al. Compressed sensing based on dictionary learning for extracting impulse components [J], Signal Processing, vol. 96, pp. 94-109, 2014,（SCI: 296RP. 中科院2区期刊，影响因子: 3.110，第一作者为导师, ESI 高被引论文）[5] Zhaohui Du, Xuefeng Chen, Han Zhang, et al. Weighted Low-rank Data Model via Nuclear Norm Minimization for Wind Turbine Bearing Fault Diagnosis [J]. Journal of Sound and Vibration, vol. 400, pp. 270-287, 2017. (SCI: EW2VW, 中科院工程技术2区期刊, 影响因子: 2.593)[6] Zhaohui Du, Xuefeng Chen, Han Zhang, et al. Feature identification with Compressive Measurements for Machine Fault Diagnosis, IEEE Transactions on Instrumentation and Measurement [J]. Vol. 65, No. 5, pp. 977-987, 2016. (SCI: DK4MM, 中科院工程技术2区期刊，影响因子: 2.456).[7] Zhaohui Du, Xuefeng Chen, Han Zhang, Convolutional Sparse Learning for Blind Deconvolution and Application on Impulsive Feature Detection. IEEE Transactions on Instrumentation and Measurement (2017). (SCI: Online access, DOI: 10.1109/TIM.2017.2777619. 中科院工程技术2区期刊，影响因子: 2.456).[8] Zhaohui Du, Xuefeng Chen, Han Zhang, et al, Multiple fault separation and detection via joint subspace learning for wind turbine gearbox health assessment [J], Frontiers of Mechanical Engineering (2017). (Online access, 中国工程院院刊)[9] Zhaohui Du, Xuefeng Chen, Han Zhang, Feature Identification with Compressive Measurements for Machine Fault Diagnosis [C], 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC2015), Pisa, Italy, May 11-14, 2015. [10] 杜朝辉，李继猛，方作为，陈雪峰，何正嘉，变速风力发电机振动信号的阶次分析 [C]，振动与冲击. Vol.33 No.S 2012. 页码：467-470. (第十三届全国设备故障诊断学术会议，增刊)。[11] 杜朝辉，陈雪峰，郭艳杰，杨博源，杨志勃，张兴武，基于联合字典的稀疏理论及在风电故障诊断中的应用 [C], 振动与冲击，Vol.33 No.S 2014. (第十四届全国设备故障诊断学术会议，增刊)。更多相关的研究论文请参见：https://www.researchgate.net/profile/Han_Zhang73/contributions?ev=prf_act

教育背景:

◆ 2017.12-至今： 西北工业大学航海学院  助理教授◆ 2015/10~2016/10   University of California, Los Angeles, （美国） 应用数学  访学交流◆ 2010/09~2017/09    西安交通大学 (985)  机械工程   硕博连读◆ 2006/09~2010/06  四川大学 (985)  机械设计及其自动化  工学学士