Research on Remote Intelligent Fault Diagnosis of CNC Machine Tools and Realization of its Software

Y.C. Li; Jian Zhong Fu; Xin Hua Yao

doi:10.4028/www.scientific.net/KEM.426-427.254

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Research on Remote Intelligent Fault Diagnosis of CNC Machine Tools and Realization of its Software
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 426-427Research on Remote Intelligent Fault Diagnosis of...

Research on Remote Intelligent Fault Diagnosis of CNC Machine Tools and Realization of its Software

Abstract:

Considering the development of cooperative design 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 was designed and a software based on internet was realized. The establishment of such system will enable efficient cooperation between CNC machine tools and users as well as maintainers.

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Periodical:

Key Engineering Materials (Volumes 426-427)

Pages:

254-259

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.426-427.254

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Online since:

January 2010

Authors:

Y.C. Li, Jian Zhong Fu, Xin Hua Yao

Keywords:

Bayesian Network (BN), CNC Machine Tool, Remote Diagnosis, TCP/IP Protocol, Windows Socket

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References

[1] Z.D. ZHOU and Y.G. LI: China Mechanical Engineering, Vol. 13 (2002) No. 6, pp.531-533.

Google Scholar

[2] G SONG and D.J. HU: Journal of Shanghai Jiaotong University, Vol. 39 (2005) No. 1, pp.91-94.

Google Scholar

[3] G SONG and D.J. HU: Journal of Donghua University, Vol. 21 (2004) No. 4, pp.131-138.

Google Scholar

[4] Z.S. ZHANG, L.J. LI and Z.J. HE: Journal of Xi'an Jiaotong University, Vol. 36 (2002) No. 12, pp.1303-1306.

Google Scholar

[5] L.X. GAO, et al: Manufacturing Technology & Machine Tool, Vol. 11 (2001), pp.14-17.

Google Scholar

[6] JERNE N K: Annual Immunology, Vol. 125 (1974) No. (1-2), pp.373-389.

Google Scholar

[7] J.P. Ren, E.Y. Bai, et al: Modern Fault-diagnosis and Maintenance of C�C Machine Tools (National Defence Industry Press, China 2002).

Google Scholar

[8] L.W. Zhang and H.P. Guo: Introduction to Bayesian network (Science Press, China 2006).

Google Scholar