标题:Determining the number of segments for piece-wise linear representation of discrete-time signals
作者:Wang, Jiandong; Yu, Yan; Chen, Kuang
作者机构:[Wang, Jiandong] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Shandong, Peoples R China.; [Yu, Yan; Chen, Kuang] Peking Univ, Co 更多
通讯作者:Wang, Jiandong;Wang, JD
通讯作者地址:[Wang, JD]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Shandong, Peoples R China.
来源:COMPUTERS & CHEMICAL ENGINEERING
出版年:2019
卷:120
页码:46-53
DOI:10.1016/j.compchemeng.2018.08.034
关键词:Data segmentation; Piecewise linear representation; Linear regression;; Confidence intervals
摘要:Piece-wise linear representation (PLR) separates a discrete-time continuous-valued signal into a few short data segments, each of which is represented by a straight line. One prerequisite parameter in the PLR is the number of data segments. This paper proposes a new method to determine the number of data segments. The method is based on a key observation on two balancing effects of the number of data segments on the confidence intervals of line approximations. The confidence intervals define parallelogram-shaped spaces, and an index is formulated as the weighted percentage of these spaces occupied by data points in data segments. The number of data segments is determined as the one achieving the maximum value of the formulated index. Numerical and industrial examples are provided to illustrate the effectiveness of the proposed method. (C) 2018 Elsevier Ltd. All rights reserved.
收录类别:EI;SCIE
资源类型:期刊论文
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