Multivariate statistical process control mspc is one of the most popular data based methods for process monitoring and is widely used in various industrial areas effective routines for process monitoring can help operators run industrial processes efficiently at the same time as maintaining high product quality. Multivariate statistical process control process monitoring methods and applications advances in industrial control zhiqiang ge zhihuan song on amazoncom free shipping on qualifying offers given their key position in the process control industry process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. This applied self contained text provides detailed coverage of the practical aspects of multivariate statistical process control mvspc based on the application of hotellings t 2 statistic mvspc is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. Application of latent variable methods to process control and multivariate statistical process control in industry it provides a critical review of the methodology and describes how it is transferred to the industrial environment recent applications of latent variable methods to process control as well as to image analysis for monitoring . Advances in statistical monitoring of complex multivariate processes with applications in industrial process control uwe kruger lei xie isbn 978 0 470 02819 3 480 pages october 2012 read an excerpt part iii advances in multivariate statistical process control 165
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