Multivariate statistical monitoring of process operating performance
Tóm tắt
Process computers routinely collect hundreds to thousands of pieces of data from a multitude of plant sensors every few seconds. This has caused a “data overload” and due to the lack of appropriate analyses very little is currently being done to utilize this wealth of information. Operating personnel typically use only a few variables to monitor the plant's performance. However, multivariate statistical methods such as PLS (Partial Least Squares or Projection to Latent Structures) and PCA (Principal Component Analysis) are capable of compressing the information down into low dimensional spaces which retain most of the information. Using this method of statistical data compression a multivariate monitoring procedure analogous to the univariate Shewart Chart has been developed to efficiently monitor the performance of large processes, and to rapidly detect and identify important process changes. This procedure is demonstrated using simulations of two processes, a fluidized bed reactor and an extractive distillation column.
Từ khóa
Tài liệu tham khảo
Anderson T. W., 1984, Introduction to Multivariate Statistical Analysis
Box G. E. P., 1978, Statistics of Experimenters
Chatfield C., 1986, Introduction to Multivariate Analysis
Chin A. Private Communication Department of Chemical Engineering McMaster University (1989).
Denney D. W. J. McKay T.MacHattie C.FloraandE.Mastracci “Application of Pattern Recognition Techniques to Process Unit Data Presented at CSChE Conference Sarnia Ont. Oct. (1985).
Draper N. R., 1981, Applied Regression Analysis
Kelly J. Private Communication Department of Chemical Engineering McMaster University (1989).
Kresta J. T. E. MarlinandJ. F.MacGregor “Choosing Inferential Variables Using Projection to Latent Structures (PLS) with Application to Multicomponent Distillation” Presented at Annual AIChE Meeting Chicago IL. Nov. (1990).
Mardia K. V., 1982, Multivariate Analysis
Shewart W. A., 1931, Economic Control of Quality of Manufactured Product
Wise B. M., 1989, Feedback Strategies in Multiple Sensor Systems, AIChE Symp. Ser., 85, 19
Wise B. M. N. L. RickerandD. J.Veltkamp “Upset and Sensor Detection in Multivariate Process” paper 164b AIChE Annual Meeting San Francisco CA. Nov. (1989).
Wold H., 1982, Systems Under Indirect Observation
Wold S., 1987, PLS Modelling with Latent Variables in two or more Dimensions
Woodhall W. H., 1985, Multivariate CUSUM Quality‐Control Procedures, Technometrics, 27, 285, 10.1080/00401706.1985.10488053
Woodward R. H., 1964, Cumulative Sum Techniques