Detection of Abnormalities During Monitoring of Potable Water Purification Process

Independent indexes monitoring of potable water treatment process is done with Shewhart control charts. Hotelling’s algorithm is applied for correlating data mean level monitoring. Generalized dispersion algorithm is applied for multivariate scattering process monitoring. However potable water purification process monitoring applies to individual observations and in this case the common approach is unacceptable. This article considers the modification of the generalized dispersion algorithm for statistical process control, to detect the multivariate scattering stability disruption in drinking water purification process by the water quality parameters multivariate scattering.