断层(地质)
计算机科学
弧(几何)
光学(聚焦)
电弧故障断路器
故障检测与隔离
信号处理
电弧
信号(编程语言)
实时计算
电子工程
电气工程
电压
数字信号处理
工程类
人工智能
地质学
计算机硬件
短路
地震学
电极
物理
机械工程
执行机构
光学
程序设计语言
量子力学
作者
Costin Vasile,Cornel Ioana
标识
DOI:10.1109/radio.2016.7772044
摘要
Electrical arc faults that occur in photovoltaic systems represent a danger due to their economic impact on production and distribution. In this paper we propose a complete system, with focus on the methodology, that enables the detection and localization of the arc fault, by the use of an electromagnetic-acoustic sensing system. By exploiting the multiple emissions of the arc fault, in conjunction with a real-time detection signal processing method, we ensure accurate detection and localization. In its final form, this present work will present in greater detail the complete system, the methods employed, results and performance, alongside further works that will be carried on.
科研通智能强力驱动
Strongly Powered by AbleSci AI