Suppr超能文献

一种用于电力系统中高分辨率频率估计的实时智能传感器。

A real-time smart sensor for high-resolution frequency estimation in power systems.

机构信息

HSPdigital Research Group, División de Ingenierías, Campus Irapuato-Salamanca, Universidad de Guanajuato / Carr. Salamanca-Valle km 3.5+1.8, Comunidad de Palo Blanco, 36700 Salamanca, Guanajuato, Mexico; E-Mails:

出版信息

Sensors (Basel). 2009;9(9):7412-29. doi: 10.3390/s90907412. Epub 2009 Sep 15.

Abstract

Power quality monitoring is a theme in vogue and accurate frequency measurement of the power line is a major issue. This problem is particularly relevant for power generating systems since the generated signal must comply with restrictive standards. The novelty of this work is the development of a smart sensor for real-time high-resolution frequency measurement in accordance with international standards for power quality monitoring. The proposed smart sensor utilizes commercially available current clamp, hall-effect sensor or resistor as primary sensor. The signal processing is carried out through the chirp z-transform. Simulations and experimental results show the efficiency of the proposed smart sensor.

摘要

电能质量监测是当前的热门主题,而准确测量电力线的频率是一个主要问题。这个问题对于发电系统尤为重要,因为生成的信号必须符合严格的标准。这项工作的新颖之处在于开发了一种智能传感器,可根据电能质量监测的国际标准进行实时高分辨率频率测量。所提出的智能传感器使用市售的电流钳、霍尔效应传感器或电阻器作为主要传感器。信号处理通过线性调频 z 变换进行。仿真和实验结果表明了所提出的智能传感器的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f26/3290493/58071f1b28d4/sensors-09-07412f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验