NDLI: Research on remote intelligent fault-diagnosis of CNC lathe based on bayesian networks

Content Provider	IEEE Xplore Digital Library
Author	Yuchun Li Jianzhong Fu Xinhua Yao Jiao Huifeng
Copyright Year	2010
Description	Author affiliation: Zhejiang University, The State Key Lab of Fluid Power Transmission and Control, Department of Mechanical Engineering, Hangzhou, 310027, China (Yuchun Li; Jianzhong Fu; Xinhua Yao; Jiao Huifeng)
Abstract	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.
Starting Page	2665
Ending Page	2668
File Size	347934
Page Count	4
File Format	PDF
ISBN	9781424477371
e-ISBN	9781424477395
DOI	10.1109/MACE.2010.5536523
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lathe Intelligent fault-diagnosis Computer numerical control Machine intelligence Software development management Intelligent networks Manufacturing processes Software design Bayesian methods Machine tools Bayesian networks IP networks Software tools
Content Type	Text
Resource Type	Article

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