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| 基于马尔可夫随机场工件表面纹理模型的刀具状态监测 | |
| 引用本文： | 熊四昌,计时鸣,樊炜,程耀东,张立彬.基于马尔可夫随机场工件表面纹理模型的刀具状态监测[J].中国机械工程,2004,15(8):678-680. |
| 作者姓名： | 熊四昌 计时鸣 樊炜 程耀东 张立彬 |
| 作者单位： | 1. 浙江大学机械与能源工程学院,杭州,210027;浙江工业大学机电学院,杭州,310014 2. 浙江工业大学机电学院,杭州,310014 3. 浙江大学机械与能源工程学院,杭州,210027 |
| 摘 要： | 基于马尔可夫随机场理论，建立了工件表面纹理图像的马尔可夫随机场纹理模型，并对工件表面纹理图像的特点进行了分析。在实验数据的基础上，对工件表面纹理图像的特征参数进行提取，提出采用相对距离作为刀具磨损程度的评价指标。指出三阶马尔可夫随机场能比较充分地反映工件表面纹理图像的特征。实验结果表明，基于马尔可夫随机场的工件表面纹理分析方法能够较好地适用于刀具状态监测。 |
| 关 键 词： | 马尔可夫随机场 工件表面纹理 刀具磨损 状态监测 |
| 文章编号： | 1004-132X(2004)08-0678-03 |
Machine Tool Condition Monitoring Based on MRF Workpiece SurfaceTexture Model |
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| Xiong Sichang , Ji Shiming Fanwei Cheng Yaodong Zhang Libin .Zhejiang University,Hangzhou, .Zhejiang University of Technology,Hangzhou.Machine Tool Condition Monitoring Based on MRF Workpiece SurfaceTexture Model[J].China Mechanical Engineering,2004,15(8):678-680. | |
| Authors: | Xiong Sichang Ji Shiming Fanwei Cheng Yaodong Zhang Libin Zhejiang University Hangzhou Zhejiang University of Technology Hangzhou |
| Affiliation: | Xiong Sichang 1,2 Ji Shiming 2 Fanwei 2 Cheng Yaodong 1 Zhang Libin 2 2.Zhejiang University,Hangzhou,310027 1.Zhejiang University of Technology,Hangzhou,310014 |
| Abstract: | On the basis of Markov Random Field(MRF) theory, Markov Random Field texture model was presented to analyse workpiece surface texture images. Using the experimental data, feature parameters of workpiece surface texture images were extracted. Relative distance was presented to evaluate the wear degree of cutting tools. Results indicate that three exponent can reflect the features of workpiece surface texture images and the mothed presented in the paper is suitable to tool status monitoring. |
| Keywords: | Markov random field(MRF) workpiece surface texture tool wear condition monitoring |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |