INTELLIGENCE ANALYSIS OF EMPIRICAL DATA BASED ON TIME SERIES

Context. The problem of intelligent data analysis for assessing the stability operators’ functioning as a component safety management is considered.The object study was to verify estimates complexity and chaotic nature physiological processes based on nonlinear dynamics methods.
 Objective. goal work dynamic system methods non-linear dynamics.
 Method. Data intelligence obtain additional useful information avoid wrong decisions when deciding current state operator be able perform professional duties. Quantitative assessment determine feedback control body subsystems their constant adaptation changes in environmental conditions. presence significant nonlinearities biomedical signals associated with appearance that describes body’s processes. Due fact have both periodic component, latter makes it possible informational internal organization organism provide about destabilization functional operator. use operator’s independent prognostic complementing traditional time frequency domains. Several indices obtained by are proposed, which contribute expansion diagnostic solution available data.
 Results. results can used during construction mathematical describe empirical this kind.
 Conclusions. Experimental studies suggested recommending an allows analyzing selection aviation industry operators one causes adverse events aviation. Prospects further research may include creation methodology will allow increase reliability predicting malfunction cardiovascular indicator change balance informative parameters, assess triggers cause event aviation, well experimental proposed approaches wide range problems.