Monitoring and diagnostics of rolling stock – from single devices to robotic diagnostic complexes

The article presents a comprehensive analysis of the evolution, current state and prospects for the development of control and diagnostic systems for railway rolling stock. A detailed review of global trends has been conducted, including a step-by-step transition from local sensors to integrated intelligent and robotic complexes based on machine vision, laser scanning, predictive analytics and artificial intelligence technologies. Special attention is paid to domestic developments, in particular, the Integrated Post for Automated Reception and Diagnostics of Rolling Stock and its development. The principles of the hybrid data processing model, the architecture and functionality of the PPSS, as well as its modular expansion, including the PAK-M and Element systems, are described. Approaches to the integration of diagnostic systems into information and control complexes of stations, the implementation of predictive maintenance and the creation of robotic diagnostic clusters are considered. The article is addressed to specialists in the field of railway transport, diagnostics, automation and information technology.

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