P. V. Golinitskii, U. Yu. Antonova, G. N. Temasova, E. I. Cherkasova, D. U. Khasyanova
{"title":"Digitalization of Fault Detection in Crankshafts","authors":"P. V. Golinitskii, U. Yu. Antonova, G. N. Temasova, E. I. Cherkasova, D. U. Khasyanova","doi":"10.1134/S1052618824700031","DOIUrl":null,"url":null,"abstract":"<p>This article considers the application of digital technologies in repair agencies, considering several peculiarities, such as heterogeneous manufactured output, unsteady manufacturing as well as detailed checkout, application of the process-based approach together with automated control systems, automated preproduction engineering, equipment control and information collection, and enterprise management. The unified information environment formed by these systems reduces the number of incorrectly rejected and accepted parts by 75–80% and excludes wrong repair decisions and reduces the time needed for decision-making.</p>","PeriodicalId":642,"journal":{"name":"Journal of Machinery Manufacture and Reliability","volume":"53 3","pages":"263 - 270"},"PeriodicalIF":0.4000,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Machinery Manufacture and Reliability","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S1052618824700031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This article considers the application of digital technologies in repair agencies, considering several peculiarities, such as heterogeneous manufactured output, unsteady manufacturing as well as detailed checkout, application of the process-based approach together with automated control systems, automated preproduction engineering, equipment control and information collection, and enterprise management. The unified information environment formed by these systems reduces the number of incorrectly rejected and accepted parts by 75–80% and excludes wrong repair decisions and reduces the time needed for decision-making.
期刊介绍:
Journal of Machinery Manufacture and Reliability is devoted to advances in machine design; CAD/CAM; experimental mechanics of machines, machine life expectancy, and reliability studies; machine dynamics and kinematics; vibration, acoustics, and stress/strain; wear resistance engineering; real-time machine operation diagnostics; robotic systems; new materials and manufacturing processes, and other topics.