title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð°ÑÐ¸Ð½Ñ ÑÐ¾Ð½Ð½Ð¾Ð³Ð¾ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ Ð½Ð° Ð±Ð°Ð·Ðµ ÐÐÐ¡
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: Development of algorithms and programs for diagnosing an asynchronous motor based on an ANN
Creators: name: ÐÐ¸ÐºÐ¾ÑÐºÐ¸Ð½, ÐÐ°ÐºÑÐ¸Ð¼
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: Ð°ÑÐ¸Ð½Ñ ÑÐ¾Ð½Ð½ÑÐ¹ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ
Ð¾ÑÐ¸Ð±ÐºÐ¸
Ð¼Ð¾Ð´ÐµÐ»Ñ
Matlab
Python
ÐÐÐ¡
asynchronous motor
errors
model
ANN

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ ÐÐÐ¡ Ð´Ð»Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº Ð°ÑÐ¸Ð½ÑÑÐ¾Ð½Ð½Ð¾Ð³Ð¾ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ. 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 Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸: Ð¾Ð±Ð·Ð¾Ñ Ð°ÑÐ¸Ð½ÑÑÐ¾Ð½Ð½ÑÑ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»ÐµÐ¹, Ð¸Ñ Ð½ÐµÐ¸ÑÐ¿ÑÐ°Ð²Ð½Ð¾ÑÑÐµÐ¹, ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº; Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¾ÑÐ¸Ð±Ð¾Ðº Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ Ð² Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¹ ÑÑÐµÐ´Ðµ Matlab; ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÑ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ (ÐÐÐ¡) Ð´Ð»Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ; ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÐÐÐ¡ Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ð¸; Ð¾Ð±Ð¼ÐµÐ½ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸ Ð¼ÐµÐ¶Ð´Ñ ÑÐµÐ°Ð»ÑÐ½ÑÐ¼ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»ÐµÐ¼ Ð¸ ÐÐÐ¡; ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÐÐÐ¡ Ð½Ð° Ð´Ð°Ð½Ð½ÑÑ ÑÐµÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°ÑÐ¸Ð½ÑÑÐ¾Ð½Ð½Ð¾Ð³Ð¾ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ. ÐÑÐµÐ´Ð²Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾ Ð±ÑÐ»Ð¸ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº Ð°ÑÐ¸Ð½ÑÑÐ¾Ð½Ð½Ð¾Ð³Ð¾ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ, Ð¿ÐµÑÐµÐ´Ð°ÑÐ¸ Ð´Ð°Ð½Ð½ÑÑ Ð¼ÐµÐ¶Ð´Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¾Ð¹, Ð½Ð°Ð¿Ð¸ÑÐ°Ð½Ð½Ð¾Ð¹ Ð½Ð° ÑÐ·ÑÐºÐµ python, Ð¸ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»ÐµÐ¼. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð±ÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ Ð´Ð»Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð°ÑÐ¸Ð½ÑÑÐ¾Ð½Ð½Ð¾Ð³Ð¾ Ð´Ð²Ð¸Ð³Ð°ÑÐµÐ»Ñ. ÐÑÐ¸Ð²ÐµÐ´ÑÐ½Ð½ÑÐµ Ð² ÑÐ°Ð±Ð¾ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÐºÐ°Ð·ÑÐ²Ð°ÑÑ ÐºÐ¾ÑÑÐµÐºÑÐ½Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ ÐÐÐ¡.
description: This work is devoted to the development of an ANN for diagnosing asynchronous motor errors. Tasks that were solved during research and development: an overview of asynchronous motors, their malfunctions, existing error diagnosis algorithms; modeling engine errors in the Matlab software environment; development of an artificial neural network (ANN) architecture for diagnosis; testing of ANN on a model; data exchange between a real engine and ANN; testing of ANN on real asynchronous data the engine. Previously, research was conducted in the field of modeling and diagnosing asynchronous motor errors, data transfer between a program written in python and the engine. As a result, a neural network was developed to diagnose an asynchronous motor. The test results presented in the paper prove the correctness of the ANN operation.