工业4.0背景下基于云计算的无监督故障诊断系统

Q3 Engineering

Gestao e Producao Pub Date : 2020-01-01 DOI:10.1590/0104-530x5378-20

Amr Mohamed Ali, E. Mohamed, S. Yacout, Y. Shaban

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引用次数: 2

摘要

摘要:本文在工业4.0的背景下，研究了基于信息物理系统(CPS)和云技术(CT)的新型在线故障监测和报警系统。从机器上收集的数据用于实施基于机器性能诊断和预测的维护策略。因此，本文的目的是提出一个包含三层技术的云计算平台，形成一个网络物理系统，该系统接收未标记的数据，为本地团队生成一个解释的在线决策，并收集历史数据以改进分析仪。采用未标记的滚动轴承实验数据集对所提出的故障排除器进行了测试。最后，对故障诊断系统和云技术在维修领域的应用现状和未来进行了讨论。

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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Cloud computing based unsupervised fault diagnosis system in the context of Industry 4.0

Abstract: New online fault monitoring and alarm systems, with the aid of Cyber-Physical Systems (CPS) and Cloud Technology (CT), are examined in this article within the context of Industry 4.0. The data collected from machines is used to implement maintenance strategies based on the diagnosis and prognosis of the machines' performance. As such, the purpose of this paper is to propose a Cloud Computing Platform containing three layers of technologies forming a Cyber-Physical System which receives unlabelled data to generate an interpreted online decision for the local team, as well as collecting historical data to improve the analyzer. The proposed troubleshooter is tested using unlabelled experimental data sets of rolling element bearing. Finally, the current and future Fault Diagnosis Systems and Cloud Technologies applications in the maintenance field are discussed.

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来源期刊

Gestao e Producao Engineering-Industrial and Manufacturing Engineering

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

44 weeks

期刊介绍： Gestão & Produção is a journal published four times a year year (March, June, September and December) by the Departamento de Engenharia de Produção (DEP) of Universidade Federal de São Carlos (UFSCar). The first issue of Gestão & Produção was published in April, 1994. Actually, G&P was result of experience of professors of DEP/UFSCar in editing, in the beginning, "Cadernos DEP" in the 1980s, followed by "Cadernos de Engenharia de Produção". The last three issues of "Cadernos de Engenharia de Produção" were a test previous to the launch of Gestão & Produção because most of the journal characteristics were already established, like regularity.