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Abstract
—In the current work, a new image-oriented feature extraction algorithm is proposed to improve partial discharge recognition accuracy when the multi-factor influences of insulation aging, defect size, and applied voltage are taken into consideration. A fuzzy-weighted method is designed to modify two-dimensional principal component analysis, producing the fuzzy-weighted two-dimensional principal component analysis algorithm, which incorporates samples distribution to the extracted partial discharge features. By synchronously implementing horizontal and vertical fuzzy-weighted two-dimensional principal component analysis, the proposed two-directional fuzzy-weighted two-dimensional principal component analysis algorithm is developed to extract the partial discharge image features. For algorithm testing, 419 diversified partial discharge samples acquired from typically artificial defect models are employed, in which the multi-factor influences of insulation aging, defect size, and applied voltage are taken into account. It is shown that the optimally successful clustering rate of 91.41% is obtained by fuzzy C-means clustering with the variation of three algorithm parameters. The comparisons with phase-resolved partial discharge statistical features and other popular image compression methods based on the support vector machine also confirms the improvement of partial discharge recognition accuracy using the proposed two-directional fuzzy-weighted two-dimensional principal component analysis algorithm.
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Notes on contributors
Jinzhong Li
Jinzhong Li was born in Shanxi, China, in 1974. He received his Bachelor's degree and M.S. in electrical engineering in 1997 and 2006, respectively, from Xi’an Jiaotong University, Xi’an, China, and North China Electric Power University, Beijing, China. In 1997, he joined Shanxi Electric Power Research Institute. In 2006, he joined China Electric Power Research Institute, where he is senior engineer and director of the Transformer Technology Laboratory in the Department of High Voltage. He is the contact of IEC TC115 and TC38 as well as member of the working groups of CIGRE B3.29, A3, and IEEE P1861. His main research interests are high-voltage insulation technologies and transformer-related technologies.
Qiaogen Zhang
Qiaogen Zhang was born in Jiangsu Province, China, in 1965. He received his B.S., M.S., and Ph.D. in electrical engineering from Xi’an Jiaotong University, Xi’an, China, in 1988, 1991, and 1996, respectively. He is currently a professor with the High Voltage Division, School of Electrical Engineering, Xi’an Jiaotong University. His major research interests include outdoor insulation, pulse power technology, and gas discharge and its application.
Ke Wang
Ke Wang was born in Anhui, China, in 1987. He received his Bachelor's degree and Ph.D. in electrical engineering in 2008 and 2013, respectively, from Chongqing University, Chongqing, China. From 2008 to 2010, he was an M.S. candidate in the Electrical Engineering School at Chongqing University. In 2013, he joined China Electric Power Research Institute where he is an engineer in the Transformer Technology Laboratory, Department of High Voltage. He is author/coauthor of over 20 articles published in journals and international conferences. His major research interests include high-voltage insulation technologies, transformer-related technologies, DC bias effect on transformers, the aging mechanism of transformer insulation, aging evaluation and fault diagnosis of insulation systems in high-voltage equipment, PDs, high-frequency signal processing, image processing, machine learning, and pattern recognition.
Ruijin Liao
Ruijin Liao was born in Sichuan, China, in 1963. He received his M.S. and Ph.D. in electrical engineering from Xi’an Jiaotong University, Xi’an, China, and Chongqing University, Chongqing, China, respectively. Since 1999, he has been a professor at the School of Electrical Engineering, Chongqing University, China. He is author/coauthor of 3 books and over 200 journal and international conference articles. His research activities are on-line monitoring of the insulation condition and fault diagnosis for high-voltage apparatus, space charge measurement of high-voltage transmission lines, the mechanism and characteristic of corona discharge in air, modification of Kraft paper and mineral oil for transformers, anti-icing technology of outdoor insulators, as well as the aging mechanism and diagnosis for power transformers.