A Multivariate Methodology for Controlling Industrial Processes
IEEE Transactions on Industrial Electronics and Control Instrumentation
The combination of three multivariate techniques (Principal Component Analysis, Cluster Analysis and Discriminant Analysis) may be used to isolate and determine bounds for the critical-control variable in a “black box” type industrial process. If input samples can be grouped into homogeneous quality categories, then it may be possible to use input and operating data to estimate discriminant functions which will differentiate between various quality categories These functions could then be used to predict quality levels based upon input and operating characteristics. In addition, -tne coefficients of the discriminant functions would provide informa-Hon as to the critical control variables and″ their bounds. © 1975, IEEE. All rights reserved.
Original Publication Date
DOI of published version
Chiattello, Marion L. and Peoenka, Joseph O., "A Multivariate Methodology for Controlling Industrial Processes" (1975). Faculty Publications. 5101.