Ultrahigh frequency partial discharge identification method based on shape, energy and statistical characteristics

• Main Authors: ZHANG BING, MEI DEDONG, ZHANG XIN, CAO DONGHONG, CHEN YANGYIN, DENG FENG, DONG XUAN, GUO ZHONGQI, YANG JIANXU, HU ZHONGLIN, TENG YUN, MA QIANLI, ZHANG DAN, ZHANG HE, LYU SHUNLI, LI ZHIJIAN, ZHOU JIE, WANG YU, ZUO HONGBING, ZHAO RUOHAN, WANG WEI, JI QIUHUA, TIAN XIAOFENG, ZHANG PENG, LUO XIN, ZHANG HAIBIN, LIU SHIYU
• Format: Patent
• Language: Chinese; English
• Published: 07.06.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

The invention discloses an ultrahigh-frequency partial discharge recognition method based on shape, energy and statistical characteristics. The ultrahigh-frequency partial discharge recognition method comprises ultrahigh-frequency partial discharge characteristic calibration based on shape, energy and statistics, wherein the ultrahigh-frequency partial discharge characteristic calibration comprises ultrahigh-frequency partial discharge data reading and data processing and ultrahigh-frequency partial discharge characteristic quantity extraction and calibration; ultrahigh-frequency partial discharge characteristic calculation and fault abnormity type identification and positioning: acquiring ultrahigh-frequency partial discharge signals and processing the signals; extracting ultrahigh frequency partial discharge characteristic quantity; performing logic judgment on normal operation data and interference data; ultrahigh frequency partial discharge type identification and positioning and ultrahigh frequency parti