基于贝叶斯网络的数控车床远程智能故障诊断研究

Yuchun Li, Jianzhong Fu, Xinhua Yao, Huifeng Jiao
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引用次数: 1

摘要

考虑到智能机床和互联网制造的发展,为了更有效地管理制造过程,设计了基于贝叶斯网络(BN)的远程智能故障诊断单元,实现了基于互联网的故障诊断软件,并对数控车床进行了实例分析。它是机床自检测的一种补偿,其主要工作是发现硬件和程序的故障。实例研究证明了基于BN的智能模型的可靠性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on remote intelligent fault-diagnosis of CNC lathe based on bayesian networks
Considering the development of smart machine tools and internet-based manufacturing and in order to manage the manufacturing process more efficiently, a unit of remote intelligent fault-diagnosis based on Bayesian Networks (BN) was designed and software based on internet was realized as well as the case study concerning CNC lathe. It is a compensation of machine tool's self-detection whose major job is to find the fault of hardware and programming. The case study proved the reliability and advantages of the intelligent model based on BN.
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