V. Alekseev, I. Kalyakin, V. Konovalova, P. Korolev, A. Perkova
{"title":"Diagnostic features identification algorithm according to vibration parameters of a compressor installation","authors":"V. Alekseev, I. Kalyakin, V. Konovalova, P. Korolev, A. Perkova","doi":"10.1109/SCM.2015.7190463","DOIUrl":null,"url":null,"abstract":"In the report the technical solution to the problem of diagnosis compressor installation of NGV filling stations is reviewed. The correspondence between the frequency ranges that characterize the defects and levels of wavelet filter is established. The algorithm allows you to set the amplitude of the harmonics and diagnose the problem.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2015.7190463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In the report the technical solution to the problem of diagnosis compressor installation of NGV filling stations is reviewed. The correspondence between the frequency ranges that characterize the defects and levels of wavelet filter is established. The algorithm allows you to set the amplitude of the harmonics and diagnose the problem.
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