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Diagnostics technological process modeling for internal combustion engines

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dc.contributor.author Galiullin L.
dc.contributor.author Valiev R.
dc.date.accessioned 2018-04-05T07:10:29Z
dc.date.available 2018-04-05T07:10:29Z
dc.date.issued 2017
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/130483
dc.description.abstract © 2017 IEEE. In the modern world the problems of the fuel and energy resources' optimization consumption belong to challenging issues. Transport consumes more than 30% of the produced hydrocarbons, and the fuel costs account for about 20% of the product cost. More highly charged is the environmental contamination, and more than half of the emissions can be attributed to internal combustion engines (ICE). Production of the internal combustion engines is enhanced towards improving the engine's environmental, economic and operational parameters. This involves the use of electronic control units - ignition control and fuel injection systems. It allows one to greatly reduce the ICE energy consumption and emission toxicity. During the vehicle operation corresponding units and knots always wear and age. This leads to deterioration of vehicle economic, environmental and effective parameters. Therefore, in order to maintain the ICE in the optimum condition and to detect any early changes in the parameters that lead to deterioration of the operation environmental, economic and effective parameters, the key aspect includes the maintenance and repair system, its scientific validity and perfection. In such a situation the technical diagnostics is of a paramount importance.
dc.subject automatization
dc.subject engine
dc.subject fuzzy
dc.subject network
dc.subject neural
dc.subject system
dc.subject tests
dc.title Diagnostics technological process modeling for internal combustion engines
dc.type Conference Paper
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS-2017-SID85039954772


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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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