Russia Builds AI-Powered Vibration Diagnostics System for Industrial Equipmen

A new technology from Petrozavodsk State University can detect equipment failures before they happen, saving industries millions in downtime.

Researchers at Petrozavodsk State University have developed an advanced vibration diagnostics system designed to monitor the health of industrial machinery. The system captures engine vibrations, analyzes the signals, and identifies early signs of malfunction—predicting when equipment is likely to fail so it can be replaced or repaired in time.

The stakes are high: in the mining sector, a single day of downtime for crushing equipment can cost around one million rubles. Companies using the new system last year reported zero unexpected shutdowns.

The Russian-made technology is about twice as cheap as foreign alternatives thanks to its proprietary software and custom-designed electronics. It can also be deployed in the cloud: once sensors are installed, data is transmitted online for processing through mathematical models and predictive analytics.

Alexey Shtykov, head of innovation and production at Petrozavodsk State University, told TASS that the system is already being implemented in the mining industry and is slated for deployment in other sectors.