FIELD: computer equipment.
SUBSTANCE: disclosed is a method of identifying elements of a complex system in variable conditions, comprising recording at least one element by one of the physical detectors tuned thereto, determining, by the output signal of at least one detector, at least one element, for which a set of N different physical features is obtained from the output signal, classifying an element based on predefined properties using a classifier previously trained by the training sample, wherein the element is associated with one of the N predefined classes, wherein at least one parameter of external conditions is additionally measured and time interval of existence of conditions with this parameter is stored, comparing for each element the values of sets of N different physical characteristics with the time of existence of at least one of the parameters of external conditions, form statistically stable classes of all elements for homogeneous conditions by processing statistical data characterizing the element during the time of existence of each considered parameter or their stable combinations, elements of the complex system are identified by comparing the implementations and the generated classes by pairwise calculation of similarity coefficients of the unknown realization and the generated standards with assignment of the implementation to the standard with the maximum similarity coefficient.
EFFECT: high reliability of identifying elements of a complex system in variable conditions.
1 cl, 2 dwg
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Authors
Dates
2020-07-08—Published
2020-01-28—Filed