|Table of Contents|

[1] Hong Zhucai**, Shi Jinfei, Cao Jie, Zhong Binglin, et al. On-Line Monitoring of Grinding StatusBased on Rough Set Theory* [J]. Journal of Southeast University (English Edition), 2002, 18 (1): 74-79. [doi:10.3969/j.issn.1003-7985.2002.01.014]
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On-Line Monitoring of Grinding StatusBased on Rough Set Theory*()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
18
Issue:
2002 1
Page:
74-79
Research Field:
Mechanical Engineering
Publishing date:
2002-03-30

Info

Title:
On-Line Monitoring of Grinding StatusBased on Rough Set Theory*
Author(s):
Hong Zhucai** Shi Jinfei Cao Jie Zhong Binglin
Department of Mechanical Engineering, Southeast University, Nanjing 210096, China
Keywords:
rough sets grinding thermal radiation on-line monitoring
PACS:
TH165+.2
DOI:
10.3969/j.issn.1003-7985.2002.01.014
Abstract:
This paper focuses on the new approach of on-line monitoring of grinding burn and wheel wear based on the rough set theory. This method adopts the grinding chip flow thermal signal, and acquires identification rules by establishing sensitive characteristic parameters and constructing the knowledge system through continuum attribute discretization, attribute reduction and knowledge acquisition, and then monitors grinding burn and wheel wear in accordance with the acquired rules. The experiment results show that the new method is effective.

References:

[1] Pawlak Z. Rough sets [J]. International Journal of Information and Computer, 1982, 11:341-356.
[2] Zhong Binglin, Huang Ren. Machine fault diagnostics[M]. Beijing: Machine Industry Press, 1998.51-82.(in Chinese)
[3] Zhong Bingling, Shi Jinfei, Huang Ren. New development of on-line identification of grinding burn based on the grinding chip thermal flow [A]. International Workshop on Auto-motive Manufacturing Science and Technology [C]. Nanjing: Press of Nanjing Unviersity of Aeronautics and Astronautics, 1996.275-279.
[4] Shi Jinfei, Zhong Binglin, Huang Ren. A study of on-line identification of grinding burn[J]. Manufacture Technology and Machine, 1997(1):1-5.(in Chinese)
[5] Jelonek J. Rough set reduction of attributes and their domains for neural networks [J]. Computational Intelligence, 1995, 11(2):339-347.

Memo

Memo:
* The project supported by National Hi-Tech Development Plan(863-511-944-014).
** Born in 1974, male, graduate.
Last Update: 2002-03-20