UDC 519.6

Authors

V.L. GOROKHOV, M.M. ADMAKIN, A.S., ZHURAVLEV

Abstract

The architecture of statistical integration algorithms for multidimensional monitoring data and forecasting the state of gas compressor stations is considered. Integration is carried out on the basis of robust estimates of the aggregate parameters of aggregates using extreme and rank statistics, with the formation and visualization of multidimensional structures in Euclidean, projective and topological spaces. The complex consists of two groups of algorithms that sequentially integrate multidimensional time series of measurements of aggregate parameters and then integrate the set of measured parameters of a set of aggregates of the same type in order to identify potential emergency ones among them.

Keywords

3-D machine graphics, cognitive visualization techniques, multidimensional time series