[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^*()

基于粗糙集理论的磨削状态在线监测

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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^*

基于粗糙集理论的磨削状态在线监测

Author(s):

Hong Zhucai^**, Shi Jinfei, Cao Jie, Zhong Binglin

Department of Mechanical Engineering, Southeast University, Nanjing 210096, China

洪著财, 史金飞, 曹杰, 钟秉林

东南大学机械工程系, 南京 210096

Keywords:

rough sets;  grinding;  thermal radiation;  on-line monitoring

粗糙集;  磨削;  热辐射;  在线检测

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.

本文着重研究了基于粗糙集理论的在线辨识磨削烧伤和砂轮磨钝的新方法, 以测取信号、计算敏感特征量、构造辨识砂轮磨损和磨削烧伤的知识表示系统、连续属性离散、分类模式的合并、属性约简、知识提取的顺序对获取的信息进行处理, 提取判别规则, 进而通过判别规则来辨识磨削烧伤和砂轮磨钝.经实验室试验, 本方法的辨识结果与试验数据相符.

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.

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