title: Ð¡Ð¸ÑÑÐµÐ¼Ñ Ð¿ÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð¾Ð¹ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ ÑÐ»ÐµÐºÑÑÐ¾Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»ÐµÐ¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Predictive diagnostics systems for electric motors
Creators: name: ÐÐ¾ÑÑÑÐ¸ÐºÐ¾Ð², ÐÐ°Ð½Ð¸Ð»Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ»ÐµÐºÑÑÐ¾Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ
model predictive control
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
Ð¿ÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð°Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ°
electric motor
artificial neural network
predictive diagnostics

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¸ Ð´Ð¸Ð°-Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ ÑÐ»ÐµÐºÑÑÐ¾Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»ÐµÐ¹ Ð´Ð»Ñ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð±ÐµÑÐ¿ÐµÑÐµÐ±Ð¾Ð¹Ð½Ð¾Ð¹ Ð¸ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾Ð¹ ÑÐ°-Ð±Ð¾ÑÑ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²ÐµÐ½Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼ Ð½Ð° Ð¸Ñ Ð¾ÑÐ½Ð¾Ð²Ðµ. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: Ð¾Ð±Ð·Ð¾Ñ ÑÐ¸Ð¿Ð¾Ð² ÑÐ»ÐµÐºÑÑÐ¾Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»ÐµÐ¹ Ð¸ Ð¸Ñ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð², Ð¸Ð·ÑÑÐµÐ½Ð¸Ðµ ÑÑÑÐµ-ÑÑÐ²ÑÑÑÐ¸Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÑ Ð¼Ð¾Ð´ÑÐ»ÐµÐ¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»ÐµÐ¹, Ð½Ð°Ð¿Ð¸ÑÐ°-Ð½Ð¸Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ¾Ð², ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ Ð¿ÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¼Ð¸, Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ñ Ð¿ÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾ÑÐµÑÑÐ° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½-Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹, Ð¾ÑÐµÐ½ÐºÐ° Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹; Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ñ Ð¸ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐ¸Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð° ÑÐ¿ÑÐ¾-ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð° Ð¸ Ð¾Ð±ÑÑÐµÐ½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. Ð­ÑÑÐµÐº-ÑÐ¸Ð²Ð½Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ Ð¿Ð¾Ð²ÑÑÐ¸Ð»Ð°ÑÑ Ð½Ð° 20%, Ð¿Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¸ÑÐµÑÐºÐ¸Ð¼ MPC-ÐºÐ¾Ð½ÑÑÐ¾Ð»Ð»ÐµÑÐ¾Ð¼. Ð Ð°Ð±Ð¾ÑÐ° Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ·ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python Ð¸ Ð¾ÑÐºÑÑÑÐ¾Ð³Ð¾ Python-ÑÑÐµÐ¹Ð¼Ð²Ð¾ÑÐºÐ° Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Â«PyTorchÂ».
description: This work is devoted to the development and comparison of control and diagnostic systems of electric motors to ensure smooth and safe operation of production systems based on them. The tasks that were solved in the course of the research: re-view of types of electric motors and their parameters, study of existing software modules for modeling electric motors, writing of controller programs, comparison of predictive control systems with classical ones, optimization of the predictive process using artificial neural networks, performance evaluation of models; prospects and directions for further research. As a result of the research a neural net-work based controller model was designed and trained. The performance improved by 20%, compared to the algorithmic MPC controller. The work was performed using the Python programming language and the open-source Python machine learning framework Â«PyTorchÂ».