Conceptual Model Creation for Automated Self-training System of Functional Control and Detection of Railway Transport

• Autorzy: Oralbekova Ayaulym , Amanova Marzhana , Rustambekova Kamila , Kaskatayev Zhanat , Kisselyova Olga , Nurgaliyeva Roza

Identyfikatory

DOI

10.24425/ijet.2021.137852

• Języki publikacji: EN

Abstrakty

EN

In order to improve the operational reliability and service life of the main systems, components and assemblies (SCA) of railway transport (RT), it is necessary to timely detect (diagnose) their defects, including the use of the methods of intellectual analysis and data processing. One of the promising approaches to the synthesis of the SCA functional control system is the use of intelligent technology (INTECH) methods. This technology is based on maximizing the information capacity of an automated decision support system for detecting faults during its training.

Słowa kluczowe

EN

railway transport; system of components and assemblies; decision support systems; intelligent technology; automatic detection systems; object used for training

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2021
• Tom: Vol. 67, No. 4
• Strony: 603--608
• Opis fizyczny: Bibliogr. 17 poz., schem., tab., wykr.

Twórcy

autor

Oralbekova Ayaulym

• Kazakh University Ways of Communications, Almaty, Kazakhstan

autor

Amanova Marzhana

• Kazakh University Ways of Communications, Almaty, Kazakhstan

autor

Rustambekova Kamila

• Kazakh University Ways of Communications, Almaty, Kazakhstan

autor

Kaskatayev Zhanat

• Kazakh University Ways of Communications, Almaty, Kazakhstan

autor

Kisselyova Olga

• Kazakh Academy of Transport and Communications named after M. Tynyshpayev, Almaty, Kazakhstan

autor

Nurgaliyeva Roza

• Kazakh University Ways of Communications, Almaty, Kazakhstan

Bibliografia

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