{"title":"PRECISION DIAGNOSTICS OF A DIESEL ENGINE UNDER AGRICULTURAL TRACTOR OPERATING CONDITIONS","authors":"O. Vrublevskyi, J. Gonera, J. Napiórkowski","doi":"10.20858/tp.2023.18.2.16","DOIUrl":null,"url":null,"abstract":"This paper presents a method for the precise diagnosis of a diesel engine in an agricultural tractor based on the analysis of efficiency changes and parameters characterizing the process of fuel-air mixture preparation. We proposed that the technical condition be identified based on available data from the engine controller, as this enables the implementation of precise online diagnostics of an agricultural tractor. The method was verified using the original cycle, during which we simulated several engine defects leading to a change in conditions and quality of the processes of creating and burning the fuel/air/flue gas mixture. In the paper, we justified the selection of the points at which the engine parameters were measured, as they provide the most information and allow for efficient identification of damage. These results indicate the possibility of damage identification without the use of the diagnostic cycle in the operation of operator-driven vehicles and autonomous vehicles.","PeriodicalId":45193,"journal":{"name":"Transport Problems","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Problems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20858/tp.2023.18.2.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a method for the precise diagnosis of a diesel engine in an agricultural tractor based on the analysis of efficiency changes and parameters characterizing the process of fuel-air mixture preparation. We proposed that the technical condition be identified based on available data from the engine controller, as this enables the implementation of precise online diagnostics of an agricultural tractor. The method was verified using the original cycle, during which we simulated several engine defects leading to a change in conditions and quality of the processes of creating and burning the fuel/air/flue gas mixture. In the paper, we justified the selection of the points at which the engine parameters were measured, as they provide the most information and allow for efficient identification of damage. These results indicate the possibility of damage identification without the use of the diagnostic cycle in the operation of operator-driven vehicles and autonomous vehicles.
期刊介绍:
Journal Transport Problems is a peer-reviewed open-access scientific journal, owned by Silesian University of Technology and has more than 10 years of experience. The editorial staff includes mainly employees of the Faculty of Transport. Editorial Board performs the functions of current work related to the publication of the next issues of the journal. The International Programming Council coordinates the long-term editorial policy the journal. The Council consists of leading scientists of the world, who deal with the problems of transport. This Journal is a source of information and research results in the transportation and communications science: transport research, transport technology, transport economics, transport logistics, transport law.