Elton Prestes de Souza, Thiago Barroso Costa, Lis Silva de Moura, Walter dos Santos Sousa, A. Mesquita, André Mesquita, Danilo Braga
{"title":"AVALIAÇÃO DA EFICIÊNCIA DOS MÉTODOS TRADICIONAIS DE ANÁLISE DE VIBRAÇÃO PARA DETECÇÃO DE FALHAS EM ROLAMENTOS EM FUNÇÃO DA ROTAÇÃO.","authors":"Elton Prestes de Souza, Thiago Barroso Costa, Lis Silva de Moura, Walter dos Santos Sousa, A. Mesquita, André Mesquita, Danilo Braga","doi":"10.26678/abcm.creem2023.cre2023-0045","DOIUrl":null,"url":null,"abstract":". This work presents an analysis and evaluation to conventional techniques of fault detection of bearings with different values speeds. At first, will be presented the main methods in the time domains and frequency domains used to fault detection of bearings. The signals generated by the bearings were acquired on a laboratory workbench using accelerometers and a frequency analyzer, model Nk-820 from TEKNIKAO. The techniques in the time domain and frequency domains were implemented by the MATLAB software and validated through the analysis of a bearing in good condition and another with known defects.","PeriodicalId":309145,"journal":{"name":"XXIX Congresso Nacional de Estudantes de Engenharia Mecânica","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"XXIX Congresso Nacional de Estudantes de Engenharia Mecânica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26678/abcm.creem2023.cre2023-0045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
. This work presents an analysis and evaluation to conventional techniques of fault detection of bearings with different values speeds. At first, will be presented the main methods in the time domains and frequency domains used to fault detection of bearings. The signals generated by the bearings were acquired on a laboratory workbench using accelerometers and a frequency analyzer, model Nk-820 from TEKNIKAO. The techniques in the time domain and frequency domains were implemented by the MATLAB software and validated through the analysis of a bearing in good condition and another with known defects.