Please use this identifier to cite or link to this item:
https://er.nau.edu.ua/handle/NAU/31694
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DC Field | Value | Language |
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dc.contributor.author | Dmitriev, S. | en |
dc.contributor.author | Popov, O. | en |
dc.contributor.author | Yakushenko, O. | en |
dc.contributor.author | Potapov, V. | en |
dc.contributor.author | Pashchuk, O. | en |
dc.date.accessioned | 2017-12-06T09:53:43Z | - |
dc.date.available | 2017-12-06T09:53:43Z | - |
dc.date.issued | 2017-09 | - |
dc.identifier.uri | http://er.nau.edu.ua/handle/NAU/31694 | - |
dc.description.abstract | The paper is dedicated to the relevant problem that pertains to gas turbine engines diagnosing. The issue con- sidered in the paper is how to diagnose gas turbine engines using the methods of pattern recognition: in par- ticular the method of “binary tree” and the “nearest neighbor” method. In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. A recursive definition using just set theory notions is that a (non-empty) binary tree is a triple (L, S, R), where L and R are binary trees or the empty set and S is a singleton set. Some authors allow the binary tree to be the empty set as well. I n computing, binary trees are seldom used solely for their struc- ture. Much more typical is to define a labeling function on the nodes, which associates some value to each node. Nearest neighbor search (NNS), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point. Closeness is typically expressed in terms of a dissimilarity function: the less similar th | en |
dc.language.iso | en | en |
dc.publisher | Авиационно–космическая техника и технология. Харьков. | ru |
dc.relation.ispartofseries | № 8 (143) | - |
dc.subject | diagnosing | en |
dc.title | Gas turbine engines diagnosing using the methods of pattern recognition | en |
dc.type | Article | en |
Appears in Collections: | Наукові статті кафедри авіаційних двигунів (НОВА) |
Files in This Item:
File | Description | Size | Format | |
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Dmitriev.pdf | СТАТЬЯ ДИАГНОСТИРОВАНИЕ ГАЗОТУРБИННОГО ДВИГАТЕЛЯ МЕТОДАМИ РАСПОЗНАВАНИЯ ОБРАЗОВ | 403.11 kB | Adobe PDF | View/Open |
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