| 引用本文: | 吴学忠,李圣怡,范大鹏.刀具状态监测的模糊集方法.[J].国防科技大学学报,1998,20(1):32-35.[点击复制] |
| Wu Xuezhong,Li Shengyi,Fan Dapeng.A method of Fuzzy Set for Tool Condition Monitoring[J].Journal of National University of Defense Technology,1998,20(1):32-35[点击复制] |
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| 刀具状态监测的模糊集方法 |
| 吴学忠, 李圣怡, 范大鹏 |
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(国防科技大学 机电工程与仪器系 湖南 长沙 410073)
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| 摘要: |
| 刀具状态监测技术一直是制约加工系统自动化和智能化水平提高的主要因素，本文采用模糊线性方程描述刀具状态与监测指标之间的关系，根据学习样本的可能分布和概率分布确定方程的参数，选用不同传感器信号特征组合进行对比实验，结果表明该方法可获得较高的识别率。 |
| 关键词: 模糊集，刀具状态，监测 |
| DOI： |
| 投稿日期：1997-08-03 |
| 基金项目:国家自然科学基金，国防预研基金资助项目 |
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| A method of Fuzzy Set for Tool Condition Monitoring |
| Wu Xuezhong, Li Shengyi, Fan Dapeng |
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(Department of Electromechanics and Instrumentation，NUDT，Changsha，410073)
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| Abstract: |
| In this paper，a new method of tool condition monitoring in milling by fuzzy set theory has been studied，the relationship between the tool conditions and monitoring indices (features) is described by a linear fuzzy equation，the parameters of this equation are determined in accordance with the possibility and the probability distributions of the learning samples. In order to verify its effectiveness，the controlled experiments of tool condition monitoring in milling has been made. the results show that it is effective to tool condition monitoring. |
| Keywords: fuzzy set,tool condition,Monitoring |
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