{"title":"Plowshares Wear Investigation of the Plows Working in Mountainous Conditions Using Statistical Probabilistic Modeling","authors":"J. Katsitadze, T. Pawlowski, Zaur Phutkaradze","doi":"10.17265/2161-6256/2018.04.008","DOIUrl":null,"url":null,"abstract":"A general technique for modeling of the wear of machine parts using the theory of probability and mathematical statistics is developed, which is implemented through the example of plows of agricultural plows. Regularities of their wear during working under mountainous conditions are established, an adequate probabilistic-statistic mathematical model is obtained, general characteristics of the distribution of wear are determined using statistical moments and their most common (modal) values are determined which allow to substantiate the method of restoring worn parts for the purpose of increasing their life. This technique can also be utilized to study the regularity of wear of parts of other machines.","PeriodicalId":14977,"journal":{"name":"Journal of agricultural science & technology A","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of agricultural science & technology A","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17265/2161-6256/2018.04.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A general technique for modeling of the wear of machine parts using the theory of probability and mathematical statistics is developed, which is implemented through the example of plows of agricultural plows. Regularities of their wear during working under mountainous conditions are established, an adequate probabilistic-statistic mathematical model is obtained, general characteristics of the distribution of wear are determined using statistical moments and their most common (modal) values are determined which allow to substantiate the method of restoring worn parts for the purpose of increasing their life. This technique can also be utilized to study the regularity of wear of parts of other machines.