Scholarlink

Abstract <p>This article presents the development of software for automating the statistical processing of the linear dimensions of worn parts of tillage implements. It addresses pressing issues related to the need to analyze large volumes of data obtained during micrometric measurements of worn parts. A software solution implemented in Python using the PyQtGraph and openpyxl libraries and modules providing a graphical interface and analytical functionality is proposed. This program automates data partitioning into intervals, calculating key statistical indicators (mean values, variance, and coefficient of variation), and plotting graphs. Examples of software application based on cultivator tine wear monitoring data are provided, confirming the adequacy of calculations and the program’s ease of use.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Software for Automating Statistical Processing of Linear Dimensions of Worn Parts of Working Bodies of Tillage Implements

  • 期刊论文

  • 发表日期：

    2026年1月1日

查看全文
  • S. A. Feskov,
  • A. M. Mikhalchenkov,
  • I. N. Kravchenko,
  • N. D. Ulyanova,
  • V. V. Tretyakov

摘要

Abstract

This article presents the development of software for automating the statistical processing of the linear dimensions of worn parts of tillage implements. It addresses pressing issues related to the need to analyze large volumes of data obtained during micrometric measurements of worn parts. A software solution implemented in Python using the PyQtGraph and openpyxl libraries and modules providing a graphical interface and analytical functionality is proposed. This program automates data partitioning into intervals, calculating key statistical indicators (mean values, variance, and coefficient of variation), and plotting graphs. Examples of software application based on cultivator tine wear monitoring data are provided, confirming the adequacy of calculations and the program’s ease of use.