A Comparison of Statistical Process Control (SPC) and On-Line Multivariate Analyses (MVA) for Injection Molding
暂无分享,去创建一个
[1] Fuli Wang,et al. Stage-based soft-transition multiple PCA modeling and on-line monitoring strategy for batch processes , 2007 .
[2] C. L. Mallows. Some comments on C_p , 1973 .
[3] J. Fraser Forbes,et al. Real-time optimization under parametric uncertainty: a probability constrained approach , 2002 .
[4] Jose A. Romagnoli,et al. A robust strategy for real-time process monitoring , 2001 .
[5] J. B. Keats,et al. Improving the performance of the multivariate exponentially weighted moving average control chart , 1999 .
[6] Seongkyu Yoon,et al. Fault diagnosis with multivariate statistical models part I: using steady state fault signatures , 2001 .
[7] Furong Gao,et al. Injection molding product weight: Online prediction and control based on a nonlinear principal component regression model , 2006 .
[8] R. R. Hocking,et al. Selection of the Best Subset in Regression Analysis , 1967 .
[9] B. Srinivasan,et al. Economic Performance Analysis in the Design of On-line Batch Optimization Systems , 1999 .
[10] Michael J. Piovoso,et al. Application of a neural network to improve an automated thermoplastic tow-placement process , 2002 .
[11] Theodora Kourti,et al. Statistical Process Control of Multivariate Processes , 1994 .
[12] Michael S. Dudzic,et al. An industrial perspective on implementing on-line applications of multivariate statistics , 2004 .
[13] Tariq Samad,et al. System architecture for process automation: Review and trends , 2007 .
[14] Fuli Wang,et al. PCA-Based Modeling and On-line Monitoring Strategy for Uneven-Length Batch Processes , 2004 .
[15] D. Kazmer,et al. An extensive simplex method for mapping global feasibility , 2003 .
[16] Age K. Smilde,et al. Improved monitoring of batch processes by incorporating external information , 2002 .
[17] Junghui Chen,et al. Dynamic process fault monitoring based on neural network and PCA , 2002 .
[18] C. T. Seppala,et al. A review of performance monitoring and assessment techniques for univariate and multivariate control systems , 1999 .
[19] Y.-K. Chen,et al. Economic design of an adaptive T2 control chart , 2007, J. Oper. Res. Soc..
[20] Furong Gao,et al. Stage-based online quality control for batch processes , 2006 .
[21] Layth C. Alwan. Cusum quality control-multivariate approach , 1986 .
[22] Ying Zheng,et al. Stability and performance analysis of mixed product run-torun control , 2006 .
[23] Douglas C. Montgomery,et al. A review of statistical process control techniques for short run manufacturing systems , 1996 .
[24] Shi-Shang Jang,et al. Stability and performance analysis of mixed product run-to-run control , 2006 .
[25] ChangKyoo Yoo,et al. Statistical process monitoring with independent component analysis , 2004 .
[26] Svante Wold,et al. Multivariate Calibration of Analytical Data , 2006 .
[27] William H. Woodall,et al. THE STATISTICAL DESIGN OF CUSUM CHARTS , 1993 .
[28] Douglas C. Montgomery,et al. A review of multivariate control charts , 1995 .
[29] Zhang Wu,et al. An Enhanced X Chart for Detecting Mean Shift , 1994 .
[30] J. E. Moyal. Stochastic Processes and Statistical Physics , 1949 .
[31] Chunhui Zhao,et al. Adaptive Monitoring Method for Batch Processes Based on Phase Dissimilarity Updating with Limited Modeling Data , 2007 .
[32] R. F.,et al. Statistical Method from the Viewpoint of Quality Control , 1940, Nature.
[33] S. Palanki,et al. A feedback-based implementation scheme for batch process optimization , 2000 .
[34] J. S. Hunter,et al. Statistics for experimenters : an introduction to design, data analysis, and model building , 1979 .
[35] Hui Cheng,et al. Fault Diagnosis of the Paper Machine Short Circulation Process using Novel Dynamic Causal Digraph Reasoning , 2008 .
[36] Martha M. Gardner. Implementing Six Sigma: Smarter Solutions Using Statistical Methods , 2000, Technometrics.