Training of specialists in the field of digital transformation of production for the industries of the future, specializing in predictive models for predicting equipment failure and formation in automated production conditions.
Students study mathematics in depth, the physical basics of equipment operation, predictive maintenance systems, as well as Big Data analytics.
You will learn how to monitor the operation of equipment to identify internal and external (environmental) factors affecting the operation of nodes and aggregates, collect data on their operation, create a digital footprint of equipment for its subsequent processing and construction of predictive models, build logical and mathematical models of factors that reduce the reliability of nodes and aggregates.
You will learn how to create competitive engineering products, develop and organize production, installation, maintenance, diagnostics and repair of technological machines and equipment, as well as develop technological processes for producing the parts and assemblies.
Graduates work as engineers at manufacturing enterprises, performing maintenance with predictive diagnostics of technological machines and equipment of various complexes.