Fuzzy Reliability Allocation of CNC Grinding Machine Tools

Article Preview

Abstract:

Reliability allocation influence factors of CNC grinding machine tools are mostly uncertain and the fuzzy method is one powerful tool for uncertain question. The reliability allocation influence factors were analyzed and the subsystems were divided of CNC grinding machine tools. Reliability allocation weight calculation method by fuzzy mathematics is proposed and the reliability is allocated to subsystem of CNC grinding machine tools by given condition. Fuzzy reliability allocation method considering various factors is practical, accurate and it can be used in concept design of CNC grinding machine tools.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

38-42

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] W. Kuo and R. Wan: IEEE Transactions on System, vol. 37 (2007), pp.143-156.

Google Scholar

[2] R. M. Emmanuel and R. Claudiom: Institute of Industrial Engineers, vol. 42 (2010), pp.539-552.

Google Scholar

[3] A. O. Charles, C. B. Chu and K. H. Adjallah: IEEE Transactions on Reliability, vol. 52 (2003), pp.106-111.

Google Scholar

[4] H. Garg and S. P. Sharma: Computers and Industrial Engineering, vol. 64 (2013), pp.247-255.

Google Scholar

[5] W. C. Yeh and T. J. Hsieh: Computer and Operations Research, vol. 38 (2011), pp.1465-1473.

Google Scholar

[6] Z. J. Liu and Q. F. Song: Proceedings of 2102 International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering, (2012), pp.423-426.

Google Scholar

[7] G. Murugesan and C. Chellappan: Lecture Notes in Electrical Engineering, vol. 68 (2010), pp.439-449.

Google Scholar

[8] V. Ravi, P. J. Reddy and H. J. Zimmermann: IEEE Transactions on Fuzzy System, vol. 8 (2000), pp.241-248.

Google Scholar

[9] Y. Q. Wang, C. M. Yam and M. Zuo: Reliability Engineering and System Safety, vol. 72 (2001), pp.247-252.

Google Scholar