Yong Qian
Post time:2012-11-18Read:1441times

 

 

Name: Yong Qian

 

Contact information: 

Address:  #800, Dong chuan Road, Shanghai         Post code: 200240

Telephone: 021-34204174                                   

 

 

Yong Qian, Assistant Researcher

 
Address:Room1-332, SEIEE Building
Shanghai Jiao Tong University
800 Dong chuan Road, Shanghai,200240,China
Tel:021-34204174     
Email:  qian_yong@sjtu.edu.cn

 

Education


Y. Qian received the B.E. and M. Eng. degrees from Dalian Maritime University, China, in 2000 and 2003, respectively, and PhD degree from Shanghai Jiao Tong University, China, in 2007.

Working Experiences 


He joined Shanghai Jiao Tong University in 2007 and acted as a research assistant from then on.

Research Interests


His major research interests include PD detection, PD signal processing, PD pattern analysis and development of online/offline PD detection and evaluation systems.

Project Fund


He has been involved in the development of PD monitoring systems for various high  voltage apparatus since 2003.                                             

2003~2006 PD online monitoring system for power generator              

2007~2008 PD online monitoring and diagnostic system for XLPE cable       

2009~2010 UHF based PD online monitoring and diagnostic system for GIS                  

Selected Publications


[1] Qian Yong,Huang Cheng-jun,Jiang Xiu-chen. Present situation and prospect of Ultrahigh Frequency based research on online monitoring of partial discharge in Gas Insulated Switchgear. Power System Technology, Iss 01, 2005.

[2] Qian Yong, Huang Cheng-jun, Chen Chen, et al. Application of Multi-wavelet Based on Denoising Algorithm in Partial Discharge Detection. Proceedings of the CSEE, Iss 06, 2007.

[3] Qian Yong, Huang cheng-jun, Chen chen, et al. Empirical mode decomposition based denoising algorithm for extracting partial discharge. Automation of Power system, Iss 12, 2005.

[4] Qian yong,Huang cheng-jun,Chen chen et al. Investigation of Multi-wavelet based algorithm for extracting diversiform partial discharge. Automation of Power system, Iss07, 2007.

[5] Qian Yong, Huang Cheng-jun, Chen Chen et al. Investigation of multi-wavelet denoising in partial discharge detection, WSEAS Transactions on Circuits and Systems, v 5, n 1,2006.

Honors


Access to the Shandong Power Science and Technology Advancement Award, Third Class

Teaching


Lecture on electrical engineering for Master of Engineering

 

 

 

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