摘要
利用刀具状态多个特征参数的信息互补，根据模糊理论建立刀具状态识别模型，并根据模糊统计法确定刀具状态与监控参数之间的模糊关系．最后结合原始功率信号的几个特征对刀具状态进行识别．对试验数据的测试表明，这种方法能有效提高刀具状态识别的正确率．
Using multi complementing information of many monitoring indices can help to increase the accuracy in tool condition recognition.The development of fuzzy sets theory provides a promising method for solving multi information integration strategy.In this paper,the approach work of the tool condition recognition based on fuzzy sets theory is presented.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1997年第9期127-130,共4页
Journal of Shanghai Jiaotong University
关键词
柔性制造系统
刀具状态认别
模糊数学
车削
tool condition monitoring
fuzzy monitoring
flexible manufacturing system (FMS)
