杨彦利
性别：男
职称：教授
导师类型：硕导（优秀指导教师）
Email：yyl070805@163.com
专业：信息与通信工程
研究方向一：智能计算
研究方向二：智能信号处理
研究方向三：机器学习
学习经历:
2007/09－2010/07，北京理工大学，机电学院，获博士学位
工作经历:
2012/06－至今，天津工业大学，电子与信息工程学院通信工程系
讲授主要课程：
信息论基础，控制理论
代表性论文著作:
第一作者发表论文30篇，其中SCI、EI收录23篇。
[1] A fault identification method based on an ensemble deep neural network and a correlation coefficient, Soft Computing, 2022.
[2] A modulated signal detection method for fault diagnosis, IET Science Measurement and Technology, 2021.
[3] Insulator self-shattering detection: A deep convolutional neural network approach, Multimedia Tools and Applications, 2019.
[4] Rolling-element bearing fault data automatic clustering based on wavelet and deep neural network, Shock and Vibration, 2018.
[5] Empirical mode decomposition as a time-varying multirate signal processing system. Mechanical Systems and Signal Processing, 2016.
[6] Analysis on frequency resolution of EMD based on B-spline interpolation. AEU-International Journal of Electronics and Communications, 2016.
[7] An improved empirical mode decomposition by using dyadic masking signals. Signal Image and Video Processing, 2015.
[8] On-line conveyor belts inspection based on machine vision. Optik, 2014.
主持科研项目:
主持完成国家自然科学基金项目1项、天津市项目3项；
获奖情况:
2021获天津市工程专业学位优秀指导教师。
2019年入选天津市高校“中青年骨干创新人才”。
