Research on the Remote Monitoring and Fault Diagnosis of CNC System Based on Network

Jin Zhou Lin; Da Yong Jiang; Bo Geng; Zhong Hai Zhang

doi:10.4028/www.scientific.net/AMM.141.465

Paper Titles

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Research on the Information Extraction Technology of STEP
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Research on the Post-Processing Algorithm about Five-Axis High-Speed Machine Center
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Research on the Vibration of Sheet Metal near the Zinc Pot Area in Continuous Hot-Dip Galvanizing Line
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Resin Concrete Specimens Attenuation Characteristics Research
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 141Research on the Remote Monitoring and Fault...

Research on the Remote Monitoring and Fault Diagnosis of CNC System Based on Network

Abstract:

This paper aimed at NC system’s high-speed, high-accuracy, high reliability requirements. The condition monitoring, faint information extraction and fault diagnosis technology are researched of complex CNC system. Elaborated to develop a common interface and achieved the seamless interaction of CNC system and reconfigurable embedded monitoring unit basis. A machine tool monitoring diagnostic verification platform with on-machine monitoring and intelligent maintenance features of CNC system is constructed based on the internet. Integration achieved the CNC machine tools’ status remote monitoring and fault diagnosis, and detailed analysis of the key technologies for the components of the system. Through effectively integration of the computer technology, weak signal extraction technology, fault diagnosis or other technologies to enhance the automation, networking and intelligent level of the complex CNC system.

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Periodical:

Applied Mechanics and Materials (Volume 141)

Pages:

465-470

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.141.465

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Online since:

November 2011

Authors:

Jin Zhou Lin, Da Yong Jiang, Bo Geng, Zhong Hai Zhang

Keywords:

CNC System, Common Interface, Condition Monitoring, Fault Diagnosis, Remote Monitoring

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References

[1] Zhu Wenyi, li Bin: Machine Tool & Hydraulics Vol. 9 (2005), pp.176-178.

Google Scholar

[2] Li Yuchun: Research on remote intelligent fault-diagnosis of CNC machine tools based on BN (Zhejiang University, Hangzhou 2010).

Google Scholar

[3] Wang Guofeng, Wang Ziliang, Qin Xuda, etc: Journal of Machine Design Vol. 21 (2004) No. 2, pp.4-6.

Google Scholar

[4] Song Wenxue, Shi Yi: Micromotors Vol. 43 (2010) No. 5, pp.100-102.

Google Scholar

[5] He Huilong, Wang Taiyong, Rao Jun, etc: Manufacturing Automation Vol. 27 (2005) No. 8, pp.13-16.

Google Scholar

[6] Wang Taiyong, Jiang Yongxiang, Liu Lu, etc: Aeronautical manufacturing technology Vol. 13 (2010), pp.27-29.

Google Scholar

[7] Zhang Xian, Wang Hongli: Journal of Mechanical Engineering Vol. 46 (2010) No. 15, pp.76-81.

Google Scholar

[8] Li Qiang, Wang Taiyong, Xu Yonggang, etc: Journal of Vibration and Shock Vol. 25 (2006) No. 4, pp.34-37.

Google Scholar

[9] Liu Tingting, Ren Xingmin: Journal of Vibration, Measurement & Diagnosis Vo, 29 (2009) No. 3, pp.36-41.

Google Scholar

[10] Zhang Shutao, Liu Yanbin, Jia Chenhui, etc: Journal of Henan University of Science and Technology Natural Science Vol. 31 (2010) No. 6, pp.19-23.

Google Scholar

[11] MT Connect Standard[S].

Google Scholar