КФУ. Карточка публикации. Improvement of 'winner takes all' neural network training for the purpose of diesel engine fault clustering

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IMPROVEMENT OF 'WINNER TAKES ALL' NEURAL NETWORK TRAINING FOR THE PURPOSE OF DIESEL ENGINE FAULT CLUSTERING

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2017

Язык

русский

Авторы, сотрудники КФУ

Илюхин Алексей Николаевич, автор

Авторы, студенты КФУ

Гибадуллин Руслан Артурович, автор

Библиографическое описание на языке оригинала

Iliukhin, A.N. Improvement of 'winner takes all' neural network training for the purpose of diesel engine fault clustering/Iliukhin, A.N., Gibadullin, R.A.//2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings 7911587

Аннотация

2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings

Ключевые слова

Clustering algorithms; Engines; Faulting; Manufacture; Neural networks; Personnel training; Plasma diagnostics; Testing Automated test systems; Computing devices; Diagnostic systems; diesel; Knowledge database; Modified neural networks; Network structures; Neural network training

Название журнала

2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings

URL

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7911587

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https://repository.kpfu.ru/?p_id=157863

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Илюхин Алексей Николаевич	ru_RU
dc.contributor.author	Гибадуллин Руслан Артурович	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Iliukhin, A.N. Improvement of 'winner takes all' neural network training for the purpose of diesel engine fault clustering/Iliukhin, A.N., Gibadullin, R.A.//2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings 7911587	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=157863	ru_RU
dc.description.abstract	2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings	ru_RU
dc.description.abstract	To create a diagnostic system for diesel engines, it is necessary to analyze a huge amount of data obtained from the automated test systems for diesel engines. Therefore, it is worth to implement the analysis with the help of an artificial neural network. The application of the artificial neural network for diesel engine fault clustering allows reducing the amount of stored data by creation of a knowledge database for the weighting factors. Self-training makes it possible to revise this database, improving the accuracy of clustering, and to modify network structure, in case the new types of faults will appear. The modified neural network training algorithm involves the usage of input vector data originally found within each cluster group as the initial weighting factors. This algorithm allows decreasing the load on the computing devices by reducing the number of training cycles in comparison with other existing algorithms. The efficiency of the method can be improved with a larger numb	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Improvement of 'winner takes all' neural network training for the purpose of diesel engine fault clustering	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU