In Russia, Digital Platform in Development to Predict Risks in Transport Systems
A full version of the system could be presented as early as 2027.
Researchers at Novosibirsk State Technical University are developing a platform designed to assess and forecast the reliability of systems used in urban transport and industry, the university’s press service said.
The digital platform is intended to help prevent unexpected failures. By detecting wear at an early stage, the system will signal potential problems and support decisions about maintenance and repairs before equipment breaks down.
According to project leader Boris Malozerov, an associate professor in the Department of Electrical Engineering Systems at NSTU NETI, the platform is not a narrowly specialized program for a single facility but a modular digital environment that can be configured for different classes of equipment and integrated into industrial systems. Its key feature is a hybrid architecture.
From Scheduled to Predictive Maintenance
The researcher added that the platform will help determine the probability, conditions, and thresholds at which risk becomes unacceptable. This would allow maintenance and equipment replacement to be scheduled based on risk and remaining service life rather than fixed timelines.
Developers say the platform could be востребована among operators of urban and intercity electric transport systems, as well as mechanical engineering and energy companies and firms specializing in monitoring and automation. The technology is expected to reduce accident rates across various systems by enabling earlier detection of failure indicators and evaluation of critical equipment states.
Researchers plan to present a full-featured version of the platform in 2027 and test it under real-world conditions.
