A directional multivariate control chart for monitoring univariate autocorrelated processes

被引:0
|
作者
Yang, Wenwan [1 ]
Zi, Xuemin [1 ]
Zou, Changliang
机构
[1] Tianjin Univ Technol & Educ, Tianjin, Peoples R China
来源
ADVANCED MATERIALS AND PROCESS TECHNOLOGY, PTS 1-3 | 2012年 / 217-219卷
关键词
statistical process control; autocorrelated; spatial sign test; EWMA;
D O I
10.4028/www.scientific.net/AMM.217-219.2607
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A new nonparametric multivariate control chart, based on a spatial-sign test and integrating the directional information from processes with the exponentially weighted moving average (EWMA) scheme, is developed for monitoring the mean of a univariate autocorrelated process. Simulation studies show that it has robustness in in-control (IC) performance, and it is more sensitive to the small and moderate mean shifts for non-normality underlying process than other existing multivariate chart methods.
引用
收藏
页码:2607 / 2613
页数:7
相关论文
共 50 条
  • [1] The autoregressive T2 chart for monitoring univariate autocorrelated processes
    Apley, DW
    Tsung, F
    JOURNAL OF QUALITY TECHNOLOGY, 2002, 34 (01) : 80 - 96
  • [2] The reverse moving average control chart for monitoring autocorrelated processes
    Dyer, JN
    Adams, BM
    Conerly, MD
    JOURNAL OF QUALITY TECHNOLOGY, 2003, 35 (02) : 139 - 152
  • [3] A regression control chart for autocorrelated processes
    Karaoglan, A.D. (deniz@balikesir.edu.tr), 1600, Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (16): : 238 - 256
  • [4] Multivariate Cuscore control charts for monitoring the mean vector in autocorrelated processes
    Chen, Shuohui
    Nembhard, Harriet Black
    IIE TRANSACTIONS, 2011, 43 (04) : 291 - 307
  • [5] A Directional Multivariate Sign EWMA Control Chart
    Zi, Xuemin
    Zou, Changliang
    Zhou, Qin
    Wang, Jingshen
    QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2013, 10 (01): : 115 - 132
  • [6] Model-based Multivariate Monitoring Charts for Autocorrelated Processes
    Huang, Xuan
    Bisgaard, Soren
    Xu, Nuo
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2014, 30 (04) : 527 - 543
  • [7] A Study on the Performance of Lambda Control Chart for Autocorrelated Processes
    Li, Suyi
    Wang, Wenjia
    PROCEEDINGS OF 2016 2ND INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), 2016, : 124 - 127
  • [8] A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation
    Sun, Jinwen
    Zhou, Shiyu
    Veeramani, Dharmaraj
    QUALITY ENGINEERING, 2023, 35 (01) : 33 - 47
  • [9] Integration of classification algorithms and control chart techniques for monitoring multivariate processes
    Sukchotrat, Thuntee
    Kim, Seoung Bum
    Tsui, Kwok-Leung
    Chen, Victoria C. P.
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2011, 81 (12) : 1897 - 1911
  • [10] A Novel Scheme of Control Chart Patterns Recognition in Autocorrelated Processes
    Wu, Cang
    Hou, Huijuan
    Lei, Chunli
    Zhang, Pan
    Du, Yongjun
    MATHEMATICS, 2023, 11 (16)