Russian Scientists Develop AI System for Machine Diagnostics
A stationary system is already being used in production to continuously monitor machinery and components.
Researchers from Nizhny Novgorod State Technical University named after Alexeev and the company EMG have developed and are testing a system for diagnosing and monitoring industrial equipment. The development was announced by the Nizhny Novgorod Scientific and Educational Center.
The AI platform tracks the condition of machine fleets in real time and helps reduce downtime. The system is built on a domestic component base. Its deployment delivers tangible benefits for manufacturers: transparent maintenance costs, minimal downtime, and more efficient use of resources.
Risk Forecasting and Process Adjustment
At the core of the system is a methodology for creating an individualized dynamic “passport” for each piece of equipment. The platform automatically determines optimal operating and setup conditions.
Artificial intelligence algorithms identify the most informative condition parameters, forecast failure risks, and adjust machining modes to reduce tool wear.
An industrial partner has already integrated the hardware-and-software complex into its production infrastructure. The system is now processing diagnostic data during the manufacture of standard parts and creating a digital profile for individual piece of equipment.
