超声波与人工智能在现场绝缘诊断中的应用(英文)

作     者：Ferreira T V Germano A D Silva K M Costa E G 

作者机构：Department of Electrical EngineeringFederal University of Campina GrandeCampina Grande Institute for High Voltage Technology and Power TransmissionTechnische Universitt München Department of Electrical EngineeringUniversity of Brasília 

出 版 物：《高电压技术》 (High Voltage Engineering)

年 卷 期：2012年第38卷第8期

页      面：1842-1847页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

主　　题：局部放电 射频信号 放电量 高电压技术 

摘      要：This work studies the feasibility of implementing a system for diagnosis of electrical insulation in the field based on ultrasonic noise and artificial neural *** system,proved functional under laboratory conditions,extracts spectral information from the ultrasonic noise emitted by the corona discharges in electric equipments,and correlates it with previously defined degrees of *** achieve this classification,artificial neural networks are *** results show the viability of the method in the site;nevertheless they also show that its reliability is proportional to the size and diversity of the available database.