title: ÐÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð°Ñ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ° Ð¾ÑÐºÐ°Ð·Ð° ÑÐ¾ÐºÐ°ÑÐ½Ð¾Ð³Ð¾ ÑÑÐ°Ð½ÐºÐ° Ð²Ð¾ Ð²ÑÐµÐ¼Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸Ð·Ð´ÐµÐ»Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Predictive analytics of lathe failure during product processing
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð², ÐÐ»ÐµÐ±
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Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¢Ð¾ÐºÐ°ÑÐ½ÑÐµ ÑÑÐ°Ð½ÐºÐ¸
ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²Ð°
Ð¿ÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð°Ñ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ°
Ð´ÐµÑÐµÐ²Ð¾ ÑÐµÑÐµÐ½Ð¸Ð¹
ÑÐ»ÑÑÐ°Ð¹Ð½ÑÐ¹ Ð»ÐµÑ
Ð³ÑÐ°Ð´Ð¸ÐµÐ½ÑÐ½ÑÐ¹ Ð±ÑÑÑÐ¸Ð½Ð³
Ð±Ð¸Ð½Ð°ÑÐ½Ð°Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð¼Ð½Ð¾Ð³Ð¾ÐºÐ»Ð°ÑÑÐ¾Ð²Ð°Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
Ð¼Ð½Ð¾Ð³Ð¾ÑÐ»Ð¾Ð¹Ð½ÑÐ¹ Ð¿ÐµÑÑÐµÐ¿ÑÑÐ¾Ð½
Ð¸Ð½Ð´ÑÑÑÑÐ¸Ñ 4.0
predictive analytics
decision tree
random forest
gradient boosting
binary classification
multiclass classification
multilayer perceptron
industry 4.0

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Â«ÐÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð°Ñ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÐºÐ° Ð¾ÑÐºÐ°Ð·Ð° ÑÐ¾ÐºÐ°ÑÐ½Ð¾Ð³Ð¾ ÑÑÐ°Ð½ÐºÐ° Ð²Ð¾ Ð²ÑÐµÐ¼Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸Ð·Ð´ÐµÐ»Ð¸ÑÂ». ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐµÐ¹ Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð¾ÑÐµÐ½Ð¸ÑÑ ÑÐ°Ð±Ð¾ÑÐ¸Ðµ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÑ ÑÐ¾ÐºÐ°ÑÐ½Ð¾Ð³Ð¾ ÑÑÐ°Ð½ÐºÐ° Ð¸ ÑÐ¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½ÑÐ¹ Ð¾ÑÐºÐ°Ð· ÑÐ¾ÐºÐ°ÑÐ½Ð¾Ð³Ð¾ Ð¾Ð±Ð¾ÑÑÐ´Ð¾Ð²Ð°Ð½Ð¸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: 1. ÐÐ½Ð°Ð»Ð¸Ð· ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¹, ÑÐ»ÑÑÑÐ°ÑÑÐ¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð¾Ð±Ð¾ÑÑÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ. 2. Ð Ð°Ð·Ð²ÐµÐ´Ð¾ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ, ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ñ, Ð¿ÑÐ¾Ð²ÐµÑÐºÐ° ÑÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð³Ð¸Ð¿Ð¾ÑÐµÐ·. 3. ÐÐ¾ÑÑÑÐ¾ÐµÐ½Ð¸Ðµ Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°ÑÐµÐ»ÑÐ½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð±Ð¸Ð½Ð°ÑÐ½Ð¾Ð¹ Ð¸ Ð¼Ð½Ð¾Ð³Ð¾ÐºÐ»Ð°ÑÑÐ¾Ð²Ð¾Ð¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸. 4. Ð£Ð»ÑÑÑÐµÐ½Ð¸Ðµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°Ð½Ð¸Ð¹ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð¿Ð¾Ð´Ð±Ð¾ÑÐ° Ð³Ð¸Ð¿ÐµÑÐ¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð². 5. ÐÐ¾Ð´Ð±Ð¾Ñ Ð´Ð°ÑÑÐ¸ÐºÐ¾Ð², Ð¾Ð±Ð¾ÑÑÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¸ ÐÐ¢-ÑÐµÑÐµÐ½Ð¸Ð¹ Ð´Ð»Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ. ÐÐ¾Ð¸ÑÐº Ð°ÐºÑÑÐ°Ð»ÑÐ½ÑÑ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ Ð¾ÑÑÑÐµÑÑÐ²Ð»ÑÐ»ÑÑ Ð² ÑÐµÑÐ¸ Ð¸Ð½ÑÐµÑÐ½ÐµÑ. ÐÐ»Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»ÑÑ ÑÐ·ÑÐº Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python ÑÐ¾Ð²Ð¼ÐµÑÑÐ½Ð¾ ÑÐ¾ ÑÑÐµÐ´Ð¾Ð¹ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Jupiter Notebook Ð¸ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð´Ð°Ð½Ð½ÑÑ, Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸: pandas, numpy, tensorflow, keras, scikit-learn, xgboost, seaborn, matplotlib.pyplot.
description: The topic of the final qualification work is "Predictive analytics of lathe failure during product processing". This work is devoted to the development of an expert system that allows you to evaluate the operating parameters of a lathe in real time and predict a possible failure of turning equipment. Tasks that were solved during the research: 1. Analysis of modern technologies that improve the operation of equipment. 2. Exploratory data analysis, filtering, statistical hypothesis testing. 3. Building predictive models and comparing the results of binary and multiclass classification. 4. Improving prediction results by selecting hyperparameters. 5. Selection of sensors, equipment, and IT solutions for the implementation of the developed system. The search for relevant approaches to solving the problem was carried out on the Internet. To optimize the systems, I used the Python programming language, compatible with the average Jupiter Notebook program, and libraries for working with data, including training and release: pandas, numpy, tensorflow, keras, scikit-learn, xgboost, seaborn, matplotlib.pyplot.