{"title":"Service Life Prediction and Evaluation of the Technical Condition of Engines Based on Remote Diagnostic System","authors":"A. A. Pegachkov","doi":"10.3103/s0967091223090103","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The paper considers issues related to the assessment of technical condition of diesel engines by creating a remote diagnostic system capable of assessing the technical condition of the engine under check. Based on the analysis of the read and stored diagnostic data, the system can calculate and correct their critical values. These system capabilities make it possible to solve problems related to service life forecasting. Special subsystems with the possibility of self-learning are used, based on algorithms that establish a connection between the system states and data obtained in real time for each diagnostic parameter.</p>","PeriodicalId":21903,"journal":{"name":"Steel in Translation","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Steel in Translation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s0967091223090103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Materials Science","Score":null,"Total":0}
引用次数: 0
Abstract
The paper considers issues related to the assessment of technical condition of diesel engines by creating a remote diagnostic system capable of assessing the technical condition of the engine under check. Based on the analysis of the read and stored diagnostic data, the system can calculate and correct their critical values. These system capabilities make it possible to solve problems related to service life forecasting. Special subsystems with the possibility of self-learning are used, based on algorithms that establish a connection between the system states and data obtained in real time for each diagnostic parameter.
期刊介绍：
Steel in Translation is a journal that represents a selection of translated articles from two Russian metallurgical journals: Stal’ and Izvestiya Vysshikh Uchebnykh Zavedenii. Chernaya Metallurgiya . Steel in Translation covers new developments in blast furnaces, steelmaking, rolled products, tubes, and metal manufacturing as well as unconventional methods of metallurgy and conservation of resources. Papers in materials science and relevant commercial applications make up a considerable portion of the journal’s contents. There is an emphasis on metal quality and cost effectiveness of metal production and treatment.
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