个人简历

教育经历
2009.09-2013.06 重庆大学 机械设计制造及其自动化 本科
2013.09-2018.12 重庆大学 机械工程 博士（获重庆市优秀博士学位论文、重庆大学优秀博士学位论文）
2016.09-2017.09 美国马里兰大学帕克分校 访学
讲授课程
设备检测与诊断
机械结构分析基础
模式识别

研究领域

"复杂装备故障诊断及预测方法"

近期论文

M. Zhao, S. Zhong, X. Fu, B. Tang, S. Dong, M. Pecht, Deep residual networks with adaptively parametric rectifier linear units for fault diagnosis, IEEE Transactions on Industrial Electronics, 2020, accepted. (自适应参数化ReLU激活函数，中科院大类1区，IF=7.515)
M. Zhao, S. Zhong, X. Fu, B. Tang, M. Pecht, Deep residual shrinkage networks for fault diagnosis, IEEE Transactions on Industrial Informatics, vol. 16, no. 7, pp. 4681-4690, 2020. (深度残差收缩网络，中科院大类1区，IF=9.112)
M. Zhao, B. Tang, L. Deng, M. Pecht, Multiple wavelet regularized deep residual networks for fault diagnosis, Measurement, vol. 152, article no. 107331, 2020. (IF=3.364)
M. Zhao, M. Kang, B. Tang, M. Pecht, Multiple wavelet coefficients fusion in deep residual networks for fault diagnosis, IEEE Transactions on Industrial Electronics, vol. 66, no. 6, pp. 4696-4706, 2019. (中科院大类1区，IF=7.515)
M. Zhao, M. Kang, B. Tang, M. Pecht, Deep residual networks with dynamically weighted wavelet coefficients for fault diagnosis of planetary gearboxes, IEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 4290-4300, 2018. (ESI高被引论文，中科院大类1区，IF=7.515)
M. Zhao, B. Tang, Q. Tan, Bearing remaining useful life estimation based on time–frequency representation and supervised dimensionality reduction, Measurement, vol. 86, pp. 41-55, 2016. (IF=3.364)
M. Zhao, B. Tang, Q. Tan, Fault diagnosis of rolling element bearing based on S transform and gray level co-occurrence matrix, Measurement Science and Technology, vol. 26, no. 8, art. no. 085008, 2015. (IF=1.857)