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

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

2021

Full text Open access: Gold Metadata (CSL-JSON)

DOI 10.24425/ijet.2021.137852

Data confidence 70 medium

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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.