曲轴故障检测数字化

IF 0.4 Q4 ENGINEERING, MECHANICAL Journal of Machinery Manufacture and Reliability Pub Date : 2024-05-27 DOI:10.1134/s1052618824700031

P. V. Golinitskii, U. Yu. Antonova, G. N. Temasova, E. I. Cherkasova, D. U. Khasyanova

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引用次数: 0

摘要

摘要本文探讨了维修机构中数字技术的应用，考虑到了一些特殊性，如异构制造产出、不稳定制造以及详细检查、基于过程的方法与自动控制系统的应用、自动化预生产工程、设备控制和信息收集以及企业管理。这些系统形成的统一信息环境可将错误剔除和接受的零件数量减少 75-80%，并可排除错误的维修决策，缩短决策所需的时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Digitalization of Fault Detection in Crankshafts

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.

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来源期刊

Journal of Machinery Manufacture and Reliability ENGINEERING, MECHANICAL-

CiteScore

0.80

自引率

33.30%

发文量

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.