在有限实验数据下预测一阶动态电路稳态直流响应的专用软件

Denitsa Darzhanova, I. Balabozov, P. Darjanov
{"title":"在有限实验数据下预测一阶动态电路稳态直流响应的专用软件","authors":"Denitsa Darzhanova, I. Balabozov, P. Darjanov","doi":"10.1109/SIELA54794.2022.9845733","DOIUrl":null,"url":null,"abstract":"In the paper the approach, preliminary proposed in [1] to predict the first order dynamic circuit steady state DC response, is additionally extended. It is based on the direct application of the Least Square Method (LSM), by processing of only a short sequence of experimental data obtained at the beginning of the transient exponential process investigation. It has been shown how to complete the experiment at its initial stage with acceptable result. This can reduce significantly both the experimental time and energy resources. The developed software can help the user to manage and stop the experiment. It is based on Scilab software platform, which facilitates the mathematical algorithm already proposed.","PeriodicalId":150282,"journal":{"name":"2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Special Software to Predict the First Order Dynamic Circuit Steady State DC Response within a Limited Set of Experimental Data\",\"authors\":\"Denitsa Darzhanova, I. Balabozov, P. Darjanov\",\"doi\":\"10.1109/SIELA54794.2022.9845733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper the approach, preliminary proposed in [1] to predict the first order dynamic circuit steady state DC response, is additionally extended. It is based on the direct application of the Least Square Method (LSM), by processing of only a short sequence of experimental data obtained at the beginning of the transient exponential process investigation. It has been shown how to complete the experiment at its initial stage with acceptable result. This can reduce significantly both the experimental time and energy resources. The developed software can help the user to manage and stop the experiment. It is based on Scilab software platform, which facilitates the mathematical algorithm already proposed.\",\"PeriodicalId\":150282,\"journal\":{\"name\":\"2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIELA54794.2022.9845733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIELA54794.2022.9845733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文对文献[1]中初步提出的一阶动态电路稳态直流响应预测方法进行了扩展。它基于直接应用最小二乘法(LSM),通过处理在瞬态指数过程研究开始时获得的短序列实验数据。说明了如何在初始阶段完成实验并取得可接受的结果。这可以大大减少实验时间和精力。所开发的软件可以帮助用户对实验进行管理和停止。它是基于Scilab软件平台,方便了已经提出的数学算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Special Software to Predict the First Order Dynamic Circuit Steady State DC Response within a Limited Set of Experimental Data
In the paper the approach, preliminary proposed in [1] to predict the first order dynamic circuit steady state DC response, is additionally extended. It is based on the direct application of the Least Square Method (LSM), by processing of only a short sequence of experimental data obtained at the beginning of the transient exponential process investigation. It has been shown how to complete the experiment at its initial stage with acceptable result. This can reduce significantly both the experimental time and energy resources. The developed software can help the user to manage and stop the experiment. It is based on Scilab software platform, which facilitates the mathematical algorithm already proposed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信