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Tutor Of Doctors
 Zheng Dandan Associate Professor
 
 
  Personal Datas  
    Zheng Dandan
Position : Associate Professor
Phone :13502194892
Email : zhengdandan@tju.edu.cn
Address: School of Electrical Engineering and Automation, 300072
 
  Resume  
    2009.3~present: work in School of Electrical Engineering and Automation, Tianjin University
2006.9~2009.3: Ph.D. degree in School of Electrical Engineering and Automation, Tianjin University
2004.9~2006.7: Master degree in School of Electrical Engineering and Automation, Tianjin University      
2000.9~2004.7: Bachelor degree in School of Electrical Engineering and Automation, Tianjin University
 
  Field Of Study  
    Process parameter measurement and information processing;
Flow sensor optimization;
Fluid parameters detection and numerical simulation
 
  Representative Paper  
    [1]Dandan Zheng, Tao Zhang and Yue Hu,Experimental investigations of the location of a piezoelectric probe in a vortex flow sensor,Meas. Sci. Technol. 18 (2007) 3777–3783    (SCI:243CP   EI:074710934715)
[2]Dandan Zheng, Tao Zhang, Juan Xing and Jianqiang Mei,Improvement of the HHT method and application in weak vortex signal detection,Meas. Sci. Technol. 18 (2007) 2769–2776    (SCI:207UX   EI:074810954475)
[3]Dandan Zheng and Tao Zhang,Research on vortex signal processing based on double-window relaxing notch periodogram,Flow Measurement and Instrumentation,19(2008)85-91    (SCI:290DM   EI:081111140961)
[4]Dandan Zheng, Pengyong Zhang, Tianshi Xu, Study of acoustic transducer protrusion and recess effects on ultrasonic flowmeter measurement by numerical simulation, Flow Measurement and Instrumentation, 2011,22(5):488-493   (SCI: 834XM    EI: 20113814347279)
[5]Dandan Zheng, Tao Zhang, Comparison study on flow fields in vortex flow sensors with circular cylinder and trapezoidal cylinder bluff bodies, Proceedings of the 2011 International Conference on Machine Learning and Cybernetics, Guilin, 10-13 July, 2011    (EI: 20114514487087)
 
  Research Project  
    1. Supported by the National Natural Science Foundation of China (Grant No. 61101227)
2. Supported by the Seed Foundation of Tianjin University
 
  Course Teaching  
    Detection technology  
  Other  
    Invention patents ZL200810153718.9  

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