Detecção de mudança de nível em séries temporais não lineares usando Descritores de Hjorth

Gabriela da Fonseca de Amorim, Pedro Paulo Balestrassi, A. P. Paiva, M. Oliveira-Abans
{"title":"Detecção de mudança de nível em séries temporais não lineares usando Descritores de Hjorth","authors":"Gabriela da Fonseca de Amorim, Pedro Paulo Balestrassi, A. P. Paiva, M. Oliveira-Abans","doi":"10.1590/0103-6513.123313","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to present a method for detecting the dynamic changes in a nonlinear time series that uses the Hotelling T2 multivariate control chart to monitor the variation in three normalized descriptors: Hjorth's descriptors of activity, mobility and complexity. This approach was applied to different simulated nonlinear time series and is illustrated in this paper with a detailed example. A case study with six time series of short-term electricity load consumption was also used to confirm the method's effectiveness.","PeriodicalId":263089,"journal":{"name":"Production Journal","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/0103-6513.123313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The purpose of this paper is to present a method for detecting the dynamic changes in a nonlinear time series that uses the Hotelling T2 multivariate control chart to monitor the variation in three normalized descriptors: Hjorth's descriptors of activity, mobility and complexity. This approach was applied to different simulated nonlinear time series and is illustrated in this paper with a detailed example. A case study with six time series of short-term electricity load consumption was also used to confirm the method's effectiveness.
利用Hjorth描述符检测非线性时间序列中的电平变化
本文的目的是提出一种检测非线性时间序列动态变化的方法,该方法使用Hotelling T2多元控制图来监测三个归一化描述符的变化:Hjorth的活动描述符、流动性描述符和复杂性描述符。将该方法应用于不同的模拟非线性时间序列,并通过一个详细的算例进行了说明。以六个时间序列的短期电力负荷消费为例,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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