教師資料查詢 | 類別: 期刊論文 | 教師: 蔡宗儒TZONG-RU TSAI (瀏覽個人網頁)

標題:Retrospective analysis for phase I statistical process control and process capability study using revised sample entropy
學年108
學期1
出版(發表)日期2019/11/01
作品名稱Retrospective analysis for phase I statistical process control and process capability study using revised sample entropy
作品名稱(其他語言)
著者Shing I. Chang, Zheng Zhang, Siim Koppel, Behnam Malmir, Xianguang Kong, Tzong-Ru Tsai, Donghai Wang
單位
出版者
著錄名稱、卷期、頁數Neural Computing and Applications 31(11), p.7415-7428
摘要This study explored a new nonparametric analytical method for identifying heterogeneous segments in time-series data for data-abundant processes. A sample entropy (SampEn) algorithm often used in signal processing and information theory can also be used in a time series or a signal stream, but the original SampEn is only capable of quantifying process variation changes. The proposed algorithm, the adjusted sample entropy (AdSEn), is capable of identifying process mean shifts, variance changes, or mixture of both. A simulation study showed that the proposed method is capable of identifying heterogeneous segments in a time series. Once segments of change points are identified, any existing change-point algorithms can be used to precisely identify exact locations of potential change points. The proposed method is especially applicable for long time series with many change points. Properties of the proposed AdSEn are provided to demonstrate the algorithm’s multi-scale capability. A table of critical values is also provided to help users accurately interpret entropy results.
關鍵字Sample entropy;Change points;Process capability analysis;Statistical process control
語言英文
ISSN1433-3058
期刊性質國外
收錄於SCI;Scopus;
產學合作
通訊作者
審稿制度
國別英國
公開徵稿
出版型式,電子版
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