Review of multivariate statistical process monitoring

A comprehensive literature survey of multivariate statistical process monitoring methods of recent years is presented. Principle component analysis based methods are reviewed according to their emphases on either data attributes, such as missing value, outliers, nonlinear, time-varying, serial correlation, non-Gaussian distribution and multi-scale, or operational attributes such as multi-block, multi-mode, transition process, multi-stage . All the methods mentioned in this survey can be extended to other statistical models easily.

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[2]  Gang Rong,et al.  Nonlinear process monitoring based on maximum variance unfolding projections , 2009, Expert Syst. Appl..

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[12]  Lei Xie,et al.  Statistical‐based monitoring of multivariate non‐Gaussian systems , 2008 .

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[14]  In-Beum Lee,et al.  Fault Detection of Non-Linear Processes Using Kernel Independent Component Analysis , 2008 .

[15]  Barry Lennox,et al.  Monitoring a complex refining process using multivariate statistics , 2008 .

[16]  Rajagopalan Srinivasan,et al.  Online monitoring of multi-phase batch processes using phase-based multivariate statistical process control , 2008, Comput. Chem. Eng..

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[25]  In-Beum Lee,et al.  Adaptive multivariate statistical process control for monitoring time-varying processes , 2006 .

[26]  Chonghun Han,et al.  On-Line Process State Classification for Adaptive Monitoring , 2006 .

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[28]  Chonghun Han,et al.  Robust Recursive Principal Component Analysis Modeling for Adaptive Monitoring , 2006 .

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[31]  G. Irwin,et al.  Process monitoring approach using fast moving window PCA , 2005 .

[32]  Min-Sen Chiu,et al.  Nonlinear process monitoring using JITL-PCA , 2005 .

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[35]  Jialin Liu,et al.  Process Monitoring Using Bayesian Classification on PCA Subspace , 2004 .

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[37]  B. Kulkarni,et al.  Modeling and monitoring of batch processes using principal component analysis (PCA) assisted generalized regression neural networks (GRNN) , 2004 .

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[39]  In-Beum Lee,et al.  Enhanced process monitoring of fed-batch penicillin cultivation using time-varying and multivariate statistical analysis. , 2004, Journal of biotechnology.

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[45]  Ali Cinar,et al.  Statistical monitoring of multistage, multiphase batch processes , 2002 .

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[59]  Chonghun Han,et al.  Real-time monitoring for a process with multiple operating modes , 1998 .

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