Suppr超能文献

Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach.

作者信息

Ghaderi Abbas, Mingotti Alessandro, Peretto Lorenzo, Tinarelli Roberto

机构信息

Department of Electrical, Electronic and Information Engineering-Guglielmo Marconi, Alma Mater Studiorum-University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy.

出版信息

Sensors (Basel). 2020 Aug 29;20(17):4889. doi: 10.3390/s20174889.

Abstract

The instrument transformers scenario is moving towards the adoption of a new generation of low-power instrument transformers. This disruptive change also requires that the modeling, characterization, and testing of those devices must be improved. Therefore, this study focuses on a smart approach developed by the authors in a previous study to estimate the output of low-power voltage transformers (LPVT). The approach-which is based on a sort of modeling in the frequency domain (the so-called sinc-response)-allows obtaining the behavior of the LPVT at rated and distorted conditions. Experimental tests performed on off-the-shelf devices confirm the applicability and effectiveness of the proposed approach when estimating the output response of LPVTs.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec1d/7506876/c4f82d3e4d64/sensors-20-04889-g001.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