Электронный архив

Testing system for ICEngine based on artificial intelligence

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dc.contributor.author Galiullin L.
dc.contributor.author Valiev R.
dc.contributor.author Galiullin I.
dc.date.accessioned 2020-01-21T20:56:00Z
dc.date.available 2020-01-21T20:56:00Z
dc.date.issued 2019
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/157849
dc.description.abstract © 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. An automated system for testing diesel engines based on an artificial intelligence (AI) is considered. A neuro-fuzzy system has been designed to form fuzzy rules for diesel engine control during its testing Expansion of production of cars, tractors and their increasing role in meeting the needs of modern society leads to a continuous improvement of power units of cars-diesel engines. Declared capacity, economy, toxicity and other evaluation parameters of the diesel engine, as well as its reliability and durability, are established by testing in stand and operating conditions. Currently, all newly created, upgraded and serial engines of cars and tractors subject to different types of tests, the essence, volume and content of which is determined by their purpose and stipulated by GOST. Tests constitute the final stage of the complex process of creating and improving diesel engines. All kinds of new, modernized and serial engines are subjected to various types of tests in this connection.
dc.subject Automation
dc.subject Engine testers
dc.subject Information system
dc.subject Internal combustion engine
dc.subject Test
dc.title Testing system for ICEngine based on artificial intelligence
dc.type Article
dc.relation.ispartofseries-issue 8 Special Issue
dc.relation.ispartofseries-volume 11
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 432
dc.source.id SCOPUS-2019-11-8-SID85070885074


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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