The Study of Partial Discharge Detection in GIS Based on Wavelet Theory

• Main Authors: De-Long Lin, 林德龍
• Other Authors: Ray-Lee Lin
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/36748088418704101616

碩士 === 國立成功大學 === 電機工程學系碩博士班 === 94 === In this thesis, acoustic emission detection technique is used to estimate the insulating ability of Gas Insulated Switchgear (GIS) and Gas Insulated Transmission Line (GIL). In addition, the wavelet transform is applied to suppress noises within field-measured signals. The presence of free moving metallic particles and partial discharge (PD) deteriorates the insulation strength of GIS and GIL. So, it is necessary to detect partial discharge in GIS at an early stage before the system failure and extensive damage to the equipment. From the field-measurement signals and corresponding wavelet analysis, it is proved that the noisy can be eliminated as well as the signals identification can be increased. Furthermore, PD signals could be detected in GIS and GIL.