Nine managers and specialists from UEC-Perm Engines (a part of Rostec United Engine Corporation, a member of Russian Engineering Union (Soyuzmash of Russia)) have successfully completed the “Neural Networks: Working with AI Systems” course at the Interregional Training Center for Innovative Technologies in Moscow.
The training provided Perm engine builders with both theoretical principles of neural networks and practical skills needed to address actual workplace challenges. Ekaterina Denisik, lead specialist of the corporate training center and organizer of the educational programs, noted that this field of study is highly sought after and appeals to professionals looking for new opportunities for professional growth.
According to Dmitry Peter, lead specialist in the production system development group, neural networks represent a new and efficient tool for analyzing manufacturing processes and pinpointing bottlenecks.
“Artificial intelligence makes it possible to analyze huge volumes of tabular data and uncover hidden correlations that would be otherwise hard to detect without extensive analysis. This information will allow us to suggest effective initiatives for process refinement and loss reduction,” highlighted Dmitry Peter.
Vice head of the die tooling workshop Sergey Koshkin sees potential in applying AI in production equipment monitoring systems.
“Sensors don’t get tired or lose concentration, and can register vibration, temperature, pressure and load round the clock. AI can process these readings, identify correlations and predict possible failures long before they arise. This can help avoid unplanned downtime of the crucial equipment,” noted Sergey Koshkin.
