РЕШЕНИЕ ЗАДАЧ ПРОГНОЗИРОВАНИЯ СОСТОЯНИЯ И УПРАВЛЕНИЯ ЖИЗНЕННЫМ ЦИКЛОМ СЛОЖНЫХ ТЕХНИЧЕСКИХ КОМПЛЕКСОВ МЕТОДАМИ РАСПОЗНАВАНИЯ ОБРАЗОВ

• Main Authors: Gennady A. Berketov, Andrei A. Mikrukov, Anatoly P. Tsurkin
• Format: Article
• Language: Russian
• Published: Plekhanov Russian University of Economics 2016-08-01
• Series: Statistika i Èkonomika
• Subjects: прогнозирование состояния; классы технического состояния; вектор параметров объекта; логические методы распознавания образов; решающее правило; prediction of the state; classes technical condition; the vector object parameters; logical methods of pattern recognition; the decision rule
• Online Access: https://statecon.rea.ru/jour/article/view/362
• ISSN: 2500-3925

In article the mathematical model of estimation and forecasting of a condition of difficult technical system based on the use of methods of images recognition is considered. Recognition algorithms based on comparison of the measured vector of signs to the aprioristic description of objects classes’ conditions are offered. The decision on accessory of current object state to one of classes is made by results of recognition algorithms. The developed algorithms can be used as the solution of management problems of difficult technical complexes life cycle.