Linpeng Yao
Shanghai Jiao Tong University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Linpeng Yao.
international conference on intelligent computing | 2009
Canxin Guo; Li Zhang; Yong Qian; Chengjun Huang; Hui Wang; Linpeng Yao; Xiuchen Jiang
The application of adaptive neuro fuzzy inference system (ANFIS) to the partial discharge (PD) pattern recognition is presented in this paper. Four types of defect models are made according to the main reason of insulation failures in real power system. Experiments are carried out to acquire the sample data, from which eight statistical features are extracted to construct the ANFIS. Different characteristics of the proposed defect models are compared based on the extracted features. Then the ANFIS is trained by characteristic features. Testing samples are utilized to validate the performance of the recognition system. The result shows that ANFIS reaches a successful recognition rate in the application of PD pattern classification.
international conference on intelligent computing | 2009
Hui Wang; Li Zhang; Chengjun Huang; Yong Qian; Canxin Guo; Junhua Liu; Linpeng Yao; Xiuchen Jiang
Today the sensitive measurement of partial discharge (PD) signals in XLPE cable can be an important element for quality assurance and diagnostics in the factory and during the on-site test procedure. The results clearly indicate that PD analysis of XLPE cable is an excellent online tool to assess its dielectric condition. However, as the serious interference in-field, the acquired PD signals may be interrupted by periodic interferences and white noises, easily. This paper describes an intelligent morphological filter algorithm to remove the periodic pulse interference and white noise contained in the PD signals. The algorithm consists of two stages of morphological processing. The performance of the algorithm is evaluated with simulated and real PD signals. Compared with classical wavelet, there are substantial improvements in the indexes of average error, root mean square (rms) error and maximum error, especially in reducing distortion of the baseline waveform.
Archive | 2010
Canxin Guo; Chengjun Huang; Xiuchen Jiang; Junhua Liu; Yong Qian; Hui Wang; Jianmin Wu; Xiaochun Wu; Wei Xie; Minhua Xu; Linpeng Yao; Ming Yao; Wendong Zheng
Archive | 2010
Yuan Bai; Cai Jun; Lirong Chen; Lina Geng; Xuxu Geng; Canxin Guo; Chengjun Huang; Xiuchen Jiang; Geng Lan; Junhua Liu; Binbin Pei; Yong Qian; Wenqun Su; Hui Wang; Hao Wu; Linpeng Yao; Li Zhang
Archive | 2010
Ming Yao; Chao Li; Wei Xie; Jianmin Wu; Xiaochun Wu; Minhua Xu; Hui Wang; Wendong Zheng; Canxin Guo; Linpeng Yao; Junhua Liu; Hao Wu; Yong Qian; Chengjun Huang; Xiuchen Jiang
WSEAS Transactions on Circuits and Systems archive | 2008
Canxin Guo; Yong Qian; Chengjun Huang; Linpeng Yao; Xiuchen Jiang
Archive | 2010
Geng Lan; Xiongming Zhou; Wenqun Su; Wendong Zheng; Xiaojuan Jiang; Suhua Qiao; Chengjun Huang; Linpeng Yao; Yong Qian; Hui Wang; Junhua Liu; Xuxu Geng; Binbin Pei; Lina Geng; Yuan Bai; Canxin Guo; Xiuchen Jiang
WSEAS Transactions on Circuits and Systems archive | 2009
Hui Wang; Chengjun Huang; Li Zhang; Yong Qian; Junhua Liu; Linpeng Yao; Canxin Guo; Xiuchen Jiang
WSEAS Transactions on Circuits and Systems archive | 2009
Junhua Liu; Ming Yao; Chengjun Huang; Linpeng Yao; Hui Wang; Xiuchen Jiang
Przegląd Elektrotechniczny | 2011
Hui Wang; Chengjun Huang; Linpeng Yao; Yong Qian; Xiuchen Jiang