基本信息

男，工学博士，校聘教授，博士生/硕士生导师。入选北京工业大学高端人才队伍建设计划-优秀人才。

教育和工作经历

清华大学机械系博士后、哈德斯菲尔德大学（英国）博士后研究员、北京交通大学博士、凯斯西储大学（美国）联合培养博士、北京工业大学校聘教授（2021年7月至今）。

科研项目

主持国家自然科学基金青年项目、博士后科学基金特别资助项目、博士后科学基金面上项目、中央高校基本科研业务费资助项目（2项）等项目共5项；参与国家自然科学基金重点项目和面上项目等多项国家级课题。

研究方向

（1）机械装备在线监测、智能诊断和寿命预测

（2）先进信号处理方法

荣誉和社会兼职

博士研究生国家奖学金（2次），北京交通大学优秀毕业生，清华大学博士后考核优秀，担任期刊《兵器装备工程学报》青年编委、《Journal of Dynamics, Monitoring and Diagnostics》青年编委会副主任。

联系方式

邮箱：dzzhao0903@bjut.edu.cn

地址：北京市朝阳区平乐园100号北京工业大学西区机电楼

代表论文

以第一作者/通讯作者在国内外权威期刊发表学术论文20余篇，其中高被引论文2篇，《机械工程学报》年度优秀论文1篇：代表性论文如下：

[1]Dezun Zhao, Honghao Wang, Lingli Cui. Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time-frequency representation[J]. Mechanical Systems and Signal Processing, 2024, 209: 111112.(中科院一区)

[2]Dezun Zhao, Xiaofan Huang, Lingli Cui. Horizontal reassigning transform for bearing fault impulses characterizing[J]. IEEE Sensors Journal, 2024, 24(2): 1837-1846.(中科院二区)

[3]Zhao Dezun, Li J, Cheng W, et al. Bearing multi-fault diagnosis with iterative generalized demodulation guided by enhanced rotational frequency matching under time-varying speed conditions[J]. ISATransactions,2023,133:518-528.(中科院一区,ESI高被引)

[4]Zhao Dezun, Cui L, Liu D. Bearing Weak Fault Feature Extraction Under Time-Varying Speed Conditions Based on Frequency Matching Demodulation Transform[J]. IEEE/ASME Transactions on Mechatronics,2023, 28(3): 1627-1637.(中科院一区)

[5]Zhao Dezun, Cui L. Scaling operator demodulation spectrum-based planetary gearbox fault diagnosis method under variable speed conditions[J]. Structural Health Monitoring,2023, 22(4): 2579-2596. (中科院二区)

[6]Zhao Dezun, Cui L,Chu Fulei. Adaptive scaling demodulation transform: Algorithm and applications[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-9.(中科院二区)

[7]Zhao Dezun, Len Gelman, Chu Fulei, AndrewBall. Vibration health monitoring of rolling bearings under variable speed conditions by novel demodulation technique. Structural Control and Health Monitoring, 2021, 28(2): e2672.(中科院二区)

[8]Zhao Dezun, Cheng Weidong, Gao Robert, Yan Ruqiang, Wang Peng. Generalized Vold-Kalman filtering for nonstationary compound faults feature extraction of bearing and gear. IEEE Transactions on Instrumentation and Measurement, 2020, 69(2):401-410.(中科院二区)

[9]赵德尊，王天杨，褚福磊.基于自适应广义解调变换的滚动轴承时变非平稳故障特征提取[J].机械工程学报, 2020, 56(3): 80-87. (年度优秀论文）

[10]Zhao Dezun, Wang T, Gao R X, et al. Signal optimization based generalized demodulation transform for rolling bearing nonstationary fault characteristic extraction[J]. Mechanical Systems and Signal Processing, 2019, 134: 106297. (中科院一区)

[11]Zhao Dezun, Wang T, Chu F. Deep convolutional neural network based planet bearing fault classification[J]. Computers in Industry, 2019, 107: 59-66.(中科院一区,ESI高被引)

[12]Zhao Dezun, Li Jianyong, Cheng Weidong, Wen Weigang. Compound faults detection of rolling element bearing based on the generalized demodulation algorithm under time-varying rotational speed. Journal of Sound and Vibration, 2016, 378: 109-123.(中科院二区)