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| 基于级联粗糙集的数控机床智能诊断方法的研究 | |
| 引用本文： | 邓三鹏,蒋永翔,徐小力,吴国新.基于级联粗糙集的数控机床智能诊断方法的研究[J].机械与电子,2011(4):49-51. |
| 作者姓名： | 邓三鹏 蒋永翔 徐小力 吴国新 |
| 作者单位： | 1. 天津职业技术师范大学,天津300222;北京理工大学,北京100081 2. 天津职业技术师范大学,天津,300222 3. 北京理工大学,北京100081;北京信息科技大学,北京100192 4. 北京信息科技大学,北京,100192 |
| 基金项目： | "高档数控机床与基础制造装备"科技重大专项，天津职业技术师范大学科研基金 |
| 摘 要： | 采用级联粗糙集进行数控机床故障诊断.以数控机床主轴、进给和刀库各部件振动信号幅值为条件属性,进行第一级粗糙集决策并诊断出主轴故障;进而通过主轴的转频、振动幅值、高频成分的能量及频率分布情况为条件属性,进行第二级粗糙集决策并诊断出产生故障的具体原因.级联粗糙集分析方法减小了由条件属性较多导致决策精度变差的可能性,提高了数控机床智能诊断的精度. |
| 关 键 词： | 数控机床 智能故障诊断 级联粗糙集 |
Study of the CNC Machine Intelligent Diagnosis Based on Cascade Rough Set |
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| DENG San-peng,JIANG Yong-xiang,XU Xiao-li,WU Guo-xin.Study of the CNC Machine Intelligent Diagnosis Based on Cascade Rough Set[J].Machinery & Electronics,2011(4):49-51. | |
| Authors: | DENG San-peng JIANG Yong-xiang XU Xiao-li WU Guo-xin |
| Affiliation: | 1.Tianjin University of Technology and Education,Tianjin 300222,China;2.Beijing Institute of Technology,Beijing 100081,China;3.Beijing Information Science and Technology University,Beijing 100192,China) |
| Abstract: | By considering the complexity influencing factors of CNC machinery fault,the application of cascade rough set on the NC machine fault diagnosis is analyzed.Take vibration signal amplitude of tool spindle,feeding spindle and knife library as the condition attributes,the first level rough set is used to determine the fault parts in tool spindle.Then,in the second rough set,the spindle frequency,vibration amplitude,high frequency components of energy and frequency distribution is used as the condition attributes to analysis the fault reason.The methods of cascade rough set can reduce the condition attributes and the decision accuracy is improved. |
| Keywords: | CNC machine intelligent fault diagnosis cascade rough set |
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