VolgGTU scientists presented neural networks that will be able to calculate the remaining operating life of generating equipment and predict its failure.

Energy-producing equipment is critical for the fuel and energy complex. It supplies electricity to cities and industries. Even regular maintenance is no guarantee against sudden breakdown of generators.

The new prediction model is a hybrid framework that uses neural networks, a powerful tool for artificial intelligence. Studies have shown that the innovative approach allowed to increase the residual life of the equipment by 1.5 times.

The day before, Russian designers presented the Shershen quadrocopter armed with ultrasonic emitter. It can be used to fight drones or to disperse riots.