The purpose of this study is to perform a classification to form a knowledge base in the field of harvesting and use in industry and in the social sphere of one of the valuable types of non-wood forest resources-tree greens. Such knowledge base is necessary for synthesis of new progressive processes, machines and mechanisms for harvesting and use of wood greens. The basis of the classification formation is based on the analysis of technological and technical solutions based on scientific and technical search, given in inventions and utility models patented in 2010-2019 in the Russian Federation. As a result of researches the main directions of patenting of developments in the field of preparation and use of wood greens are classified.

Keywords: modeling, wood density, logging, skidding, forwarder, skidder

This paper proposes a method of constructing a simulation model of the pipe, reinforced by a thin annular plate, and further analysis and definition of internal defects based on the ultrasonic non-destructive testing methods and the artificial neural networks. The influence of various physical and geometrical parameters of training neural networks was performed. Optimal structure of neural network and the type of training vectors was established.

Keywords: Crack, coating layer, functional coatings, finite-element method, artificial neural networks

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