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Information × Registration Number 0220U100594, 0117U004259 , R & D reports Title The methodology of multiclassic diagnos of complex extensivel objects. popup.stage_title Head Bouraou Nadiia I., Доктор технічних наук Registration Date 22-01-2020 Organization Publishing and Printing Institute of Igor Sikorsky Kyiv Polytechnic Institute popup.description2  Methodology of multi-class diagnostics is developed for complex spatial objects with welded and / or riveted joints of elements in case of occurrence and development of multi-site damages on the basis of methods of multi-class recognition and information technologies, methods of estimation and prediction of change of technical condition of objects. The general structure and principle of functioning of the system of multi-class diagnostics of complex spatial objects with welded and riveted connections with the multi-class recognition subsystem based on the neural network classifier are developed and substantiated. The general structure of the neural network classifier for multi-class recognition of the condition of the welded tank is developed and substantiated. The modeling of multi-class recognition processes by the developed classifier is carried out. Software have been developed to predict the level of deformation of the structural elements of an object by extrapolating the trend lines to obtain the point value of the forecast of the level of deformation for a specified period of time. Techniques and basic recommendations for multi-class diagnostics using neural network classifiers have been developed to solve the problems of detecting and classifying of object’s multi-site damages. Product Description popup.authors popup.nrat_date 2020-04-02 Close