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Computation of Average Run Length for Residual-Based T^2 Control Chart for Multivariate Autocorrelated Processes 被引量:1

Computation of Average Run Length for Residual-Based T^2 Control Chart for Multivariate Autocorrelated Processes
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摘要 The expression of residual is obtained according to its dynamic response to mean shift, then the distribu- tion of T2 statistic applied to the residual is derived, thus the probability of the 7a statistic lying outside the control limit is calculated. The above-mentioned results are substituted into the infinite definition expression of the average run length (ARL), and then the final finite ARL expression is obtained. An example is used to demonstrate the procedures of the proposed method. In the comparative study, eight autocorrelated processes and four different mean shifts are performed, and the ARL values of the proposed method are compared with those obtained by simulation method with 50 000 replications. The accuracy of the proposed method can be illustrated through the comparative results. The expression of residual is obtained according to its dynamic response to mean shift,then the distribution of T 2 statistic applied to the residual is derived,thus the probability of the T 2 statistic lying outside the control limit is calculated.The above-mentioned results are substituted into the infinite definition expression of the average run length(ARL),and then the final finite ARL expression is obtained.An example is used to demonstrate the procedures of the proposed method.In the comparative study,eight autocorrelated processes and four different mean shifts are performed,and the ARL values of the proposed method are compared with those obtained by simulation method with 50,000 replications.The accuracy of the proposed method can be illustrated through the comparative results.
出处 《Transactions of Tianjin University》 EI CAS 2012年第4期305-308,共4页 天津大学学报(英文版)
基金 Supported by National Natural Science Foundation of China (No.70931004 and No. 70802043)
关键词 autocorrelated process average mn length (ARL) residual-based T2 control chart 平均运行长度 自相关过程 剩余 计算 控制图 统计分布 ARL 动态响应
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参考文献15

  • 1Montgomery D C. Statistical Quality Control: A Modern Introduction [M]. Wiley, New York, 2009. 被引量:1
  • 2Alwan L C, Radson D. Time-series investigation of sub- sample mean charts [J]. IIE Transactions, 1992,24 (5) :66-80. 被引量:1
  • 3Harris T J, Ross W H. Statistical process control proce- dures for correlated observations [J]. Canadian Journal of Chemical Engineering, 1991, 69 (1) : 48-57. 被引量:1
  • 4Noorossana R, Vaghefi S J M. Effect of autocorrelation on performance of the MCUSUM control chart[J]. Quality and Reliability Engineering International, 2006, 22 (2) : 191-197. 被引量:1
  • 5Loredo E N, Jearkpapom D, Borror C M. Model-based control chart for autoregressive and correlated data [J]. Quality and Reliability Engineering International, 2002, 18 (6) : 489-496. 被引量:1
  • 6Montgomery D C,Mastrangelo C M,Faltin F Wet al. Some statistical process control methods for autocorrelated data [J] .Journal of Quality Technology, 1991,23 (3) : 179-204. 被引量:1
  • 7杨穆尔,孙静.二元自相关过程的残差T^2控制图[J].清华大学学报(自然科学版),2006,46(3):403-406. 被引量:11
  • 8孙静,杨穆尔.多元自相关过程的残差T^2控制图[J].清华大学学报(自然科学版),2007,47(12):2184-2187. 被引量:18
  • 9Pan Xia, Jarrett Jeffrey. Using vector autoregressive re- siduals to monitor multivariate processes in the presence of serial correlation [J]. International Journal of Production Economics, 2007, 106 (1) : 204-216. 被引量:1
  • 10Jarrett Jeffrey, Pan Xia. The quality control chart for moni- toring multivariate autocorrelated processes [J]. Computa- tional Statistics and Data Analysis,2007,51 (8) :3862-3870. 被引量:1

二级参考文献24

  • 1杨穆尔,孙静.二元自相关过程的残差T^2控制图[J].清华大学学报(自然科学版),2006,46(3):403-406. 被引量:11
  • 2Krieger C A,Champ C W,Alwan L C.Monitoring an autocorrelated process[A].Pittsburgh Conference on Modeling and Simulation[C].Pittsburgh,PA,1992. 被引量:1
  • 3Lowry C A,Woodall W H,Champ C W,et al.A multivariate exponentially weighted moving average control chart[J].Technometrics,1992,34(1):46-53. 被引量:1
  • 4Alwan L C.Effects of autocorrelation on control chart performance[J].Communications in Statistics:Theory and Methods,1992,21:1025-1049. 被引量:1
  • 5Runger G C,Willemain T R.Model-based and model-free approaches for control of autocorrelated processes[J].Journal of Quality Technology,1995,27(4):283-292. 被引量:1
  • 6Lu C W,Reynolds M R Jr.CUSUM control charts for monitoring an autocorrelated process[J].Journal of Quality Technology,2001,33(3):316-334. 被引量:1
  • 7Apley D W,Tsung F.The autoregressive T2 chart for monitoring univariate autocorrelated processes[J].Journal of Quality Technology.2002,34(1):80-96. 被引量:1
  • 8Atienza O O,Tang L C,Ang B W.A CUSUM scheme of autocorrelated observations[J].Journal of Quality Technology,2002,34(2):187-199 被引量:1
  • 9Mason R L,Young J C.Multivariate Statistical Process Control with Industrial Applications[M].Philadelphia:Society for Industrial and Applied Mathematics,2002. 被引量:1
  • 10Tracy N D,Young J C,Mason R L.Multivariate control charts for individual observations[J].Journal of Quality Technology,1992,24(2):86-95. 被引量:1

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