Total PLS Based Contribution Plots for Fault Diagnosis

Yu, 2008, Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models, American Institute Chemical Engineers Journal, 54, 1811, 10.1002/aic.11515 Harkat, 2007, Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis, International Journal of Automation and Computing, 4, 149, 10.1007/s11633-007-0149-6 Shi, 2006, Product quality prediction by a neural softsensor based on MSA and PCA, International Journal of Automation and Computing, 3, 17, 10.1007/s11633-006-0017-9 Lu, 2006, Statistical modeling and online monitoring for batch processes, Acta Automatica Sinica, 32, 400 MacGregor, 2004, Process monitoring and diagnosis by multiblock PLS methods, American Institute Chemical Engineers Journal, 40, 826, 10.1002/aic.690400509 Kaneko, 2009, Development of a new soft sensor method using independent component analysis and partial least squares, American Institute Chemical Engineers Journal, 55, 87, 10.1002/aic.11648 Khan, 2008, Virtual metrology and feedback control for semiconductor manufacturing processes using recursive partial least squares, Journal of Process Control, 18, 961, 10.1016/j.jprocont.2008.04.014 Yan, 2007, Radial basis function-weighted partial least square regression and its application to develop dry point soft sensor, Acta Automatica Sinica, 33, 193, 10.1360/aas-007-0193 Li G, Qin S Z, Zhou D H. Geometric properties of partial least squares for process monitoring. Automatica, to be published Wold, 1998, Orthogonal signal correction of near-infrared spectra, Chemometrics and Intelligent Laboratory Systems, 44, 175, 10.1016/S0169-7439(98)00109-9 Fearn, 2000, On orthogonal signal correction, Chemometrics and Intelligent Laboratory Systems, 50, 47, 10.1016/S0169-7439(99)00045-3 Trygg, 2002, Orthogonal projections to latent structures (O-PLS), Journal of Chemometrics, 16, 119, 10.1002/cem.695 Zhou D H, Li G, Qin S J. Total projection to latent structures for process monitoring. American Institute Chemical Engineers Journal, to be published Nomikos, 1995, Multivariate SPC charts for monitoring batch processes, Technometrics, 37, 41, 10.1080/00401706.1995.10485888 Westerhuis, 2000, Generalized contribution plots in multivariate statistical process monitoring, Chemometrics and Intelligent Laboratory Systems, 51, 95, 10.1016/S0169-7439(00)00062-9 Qin, 2001, On unifying multiblock analysis with application to decentralized process monitoring, Journal of Chemometrics, 15, 715, 10.1002/cem.667 Choi, 2005, Multiblock PLS-based localized process diagnosis, Journal of Process Control, 15, 295, 10.1016/j.jprocont.2004.06.010 De, 1993, SIMPLS: an alternative approach to partial least square regression, Chemometrics and Intelligent Laboratory Systems, 18, 251, 10.1016/0169-7439(93)85002-X Downs, 1993, A plant-wide industrical process control problem, Computers and Chemical Engineering, 17, 245, 10.1016/0098-1354(93)80018-I Chiang, 2001 Lee, 2004, Multiple-fault diagnosis of the Tennessee Eastman process based on system decomposition and dynamic PLS, Industrial and Engineering Chemistry Research, 43, 8037, 10.1021/ie049624u