@ARTICLE{Oralbekova_Ayaulym_Conceptual_2021, author={Oralbekova, Ayaulym and Amanova, Marzhana and Rustambekova, Kamila and Kaskatayev, Zhanat and Kisselyova, Olga and Nurgaliyeva, Roza}, volume={vol. 67}, number={No 4}, journal={International Journal of Electronics and Telecommunications}, pages={603-608}, howpublished={online}, year={2021}, publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications}, abstract={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.}, type={Article}, title={Conceptual Model Creation for Automated Self-training System of Functional Control and Detection of Railway Transport}, URL={http://www.czasopisma.pan.pl/Content/121894/PDF-MASTER/83_3245_Oralbekova_skl.pdf}, doi={10.24425/ijet.2021.137852}, keywords={railway transport, a system of components and assemblies, decision support systems, intelligent technology, automatic detection systems, an object used for training}, }