The 4th Conference on Monitoring and Predictive Analytics, held at Gubkin University, featured over 70 reports and attracted more than 200 participants. The event focused on transitioning from traditional defect-based diagnostics to risk-oriented management, where industrial safety is quantified in monetary terms.
Experts highlighted the shift toward proactive maintenance strategies. Key regulatory updates include a new draft standard for monitoring systems under Rosstandart and amendments to Federal Law 116-FZ, which now permit the use of automated monitoring data for industrial safety assessments.
Technological advancements discussed include satellite radar monitoring, fiber-optic sensors, and muon tomography. Gazprom Neft presented its PEGAZ predictive system, which uses generative AI to provide maintenance recommendations, while also managing a massive SAP-based maintenance system covering two million equipment units.
A significant project involves optimizing maintenance for GTK-10 gas turbine units, which account for 46% of stationary gas turbine drive capacity. By transitioning from scheduled repairs to condition-based maintenance, the industry aims to move away from rigid time-based cycles toward data-driven operational decisions.
