| 零件表面粗糙度的在线检测方法研究 |
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| 引用本文： | 陈爱弟,王信义.零件表面粗糙度的在线检测方法研究[J].中国机械工程,2002,13(6):494-496,523. |
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| 作者姓名： | 陈爱弟 王信义 |
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| 作者单位： | 北京理工大学,北京市,100081 |
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| 基金项目： | 国防科技基金预研资助项目 (96J18.3 .1BQ0 14 7) |
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| 摘 要： | 根据零件表面粗糙度形成的复杂性，建立了基于具有结构和参数学习的模糊神经网络逻辑系统，通过该模糊神经网络搜索最优推理规则，并且通过最优模糊推量规则来在线检测零件表面粗糙度。该检测方法可在线检测零件的附加表面粗糙度。
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| 关 键 词： | 在线检测 模糊神经网络 模糊聚类 表面粗糙度 机械零件 |
| 文章编号： | 1004-132X(2002)06-0494-03 |
Research on On-line Detecting Method for Part Surface Roughness |
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| CHEN Aidi.Research on On-line Detecting Method for Part Surface Roughness[J].China Mechanical Engineering,2002,13(6):494-496,523. |
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| Authors: | CHEN Aidi |
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| Abstract: | According to the complexity of part surface roughness,a fuzzy neural network based logic(FNNL) system, which has learning function of structure and parameter is established. The system can search optimum reasoning rules for on-line detecting surface roughness.The Scheme of on-line detecting method can be used for additional surface roughness detecting, and the detecting results are identical to that from the real measurement. |
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| Keywords: | on-line detecting fuzzy neural network fuzzy classification surface roughness |
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