Zhu Wenjun
Electric Power Research Institute
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Publication
Featured researches published by Zhu Wenjun.
china international conference on electricity distribution | 2014
Cheng Tingting; Zhu Wenjun; Jin Guangyao; Yang Zhiyong; Wensheng Gao
Dynamic contact resistance measurement (DRM) is an effective technique for assessing the condition of power circuit breaker main contacts and arcing contacts. However, DRMs are easily affected by measurement condition, and they vary widely with changes of measurement condition, which is likely to lead to misjudgments. The problem can be relieved by increasing the injected current value. The proposed paper researched the influence of the dc injected current on dynamic contact resistance, and discovered that the average main contact resistance, the average arcing contact resistance, and the standard deviation of DRM curve decreased with the increase in the current value. At the same time, the reproducibility of parameters above improved. Besides, this paper also proposes a proper DRM strategy for the tested breaker.
ieee power engineering and automation conference | 2012
Wang Hongbin; Zhu Wenjun; Hu Yue; Sheng Gehao; Jiang Xiuchen
To determine the relationship between partial discharge type and envelope signal of partial discharge is important to evaluate the insulation state of gas-insulated switchgear (GIS). In this paper, discretization and differential matrix reduction is first conducted over the feature matrix composed of feature vectors characterizing UHF PD envelope signals using rough set theory for dimensionality reduction. Then the reduced feature vectors are used for pattern identification of four different types of UHF PD envelope signals in combination with BP neural network classifier. The results show that this method has a high identification rate.
ieee international conference on condition monitoring and diagnosis | 2012
Hu Yue; Si Liangqi; Sheng Gehao; Jiang Xiuchen; Wang Hongbin; Zhu Wenjun
Phase angle of PD pulse is an important parameter of PD pattern, and its accuracy determines the effectiveness of PD pattern recognition based on phase-resolved distribution analysis. In this paper, a novel phase angle calculation method for UHF PD detecting systems in segment acquisition mode is proposed. This method use a synchronous circuit to output UHF marker signals with certain frequency characteristics to represent the rising edge of zero-crossing points of power frequency signal. The UHF PD detection system receives both marker signals and PD pulses, and records the occurrence time of all of the UHF pulse signals. Those two types of signals could be separated and marked by calculating their different time-frequency characteristic parameters using fuzzy clustering method. Then the phase angle of PD pulses could be calculated from the time difference between the UHF PD pulses and the neighboring zero-crossing points of power frequency signal. This method realizes the phase angle calculation of UHF PD signals without sampling power frequency signal, which greatly simplifies the structure of the system and reduces its requirements for data processing. The validity of the method is verified by experimental application in Laboratory.
Archive | 2013
Luo Yingting; Wang Hongbin; Zhu Wenjun; Dou Peng; Li Feng; Gao Ya; Huang Yong; Ni Quangui; Yang Sanhua
Archive | 2013
Zhong Qing; Xie Shanyi; Zhai Ruicong; Wang Hongbin; Meng Yuanyuan; Zhu Wenjun; Yang Qiang; Li Feng; Huang Yong; Wang Jusen; Liu Chao
High Voltage Engineering | 2013
Zhu Wenjun
Archive | 2015
Wang Hongbin; Luo Yingting; Li Feng; Li Chengrong; Zhu Wenjun; Jiang Jun; Ma Guoming
Archive | 2014
Wang Hongbin; Zhu Wenjun; Liang Wenjin; Xie Shanyi; Fan Ying; Zhou Gang
Archive | 2014
Wang Hongbin; Gao Ya; Zhu Wenjun; Luo Yingting; Li Feng; Huang Yong; Ye Haifeng; Ren Zhenyu
Archive | 2014
Zhang Hu; Wang Hongbin; Fan Ying; Gao Ya; Chen Hao; Zhu Wenjun; Jiang Tao; Feng Kun