| 基于小波变换圆度误差的检测方法 |
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| 引用本文： | 谢文涓,蔡改贫,姜志宏,吴叶彬.基于小波变换圆度误差的检测方法[J].新技术新工艺,2010(6):41-43. |
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| 作者姓名： | 谢文涓 蔡改贫 姜志宏 吴叶彬 |
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| 作者单位： | 江西理工大学机电学院,江西,赣州,341000 |
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| 摘 要： | 针对圆度误差在非接触检测过程中噪声对原始信号产生干扰的问题,提出采用小波变换进行采样信号的降噪处理,小波变换具有多分辨率分析的特点,在信号分析处理中能有效区分信号中的噪声,具有良好的去噪能力;讨论了快速小波变换算法及小波阈值降噪法的基本原理和处理实测信号的具体步骤;分析了基于小波变换的最小二乘圆法评定圆度误差的算法,并推导了最小二乘圆的理论模型;运用Matlab小波工具箱并通过试验说明了小波分析处理圆度误差的方法和效果。
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| 关 键 词： | 非接触检测 快速小波变换 阈值降噪 最小二乘圆法 圆度误差 |
The Measurement Method Of Roundness Error based on Wavelet Fransform |
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| XIE Wenjuan,CAI Gaipin,JIANG Zhihong,WU Yebing.The Measurement Method Of Roundness Error based on Wavelet Fransform[J].New Technology & New Process,2010(6):41-43. |
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| Authors: | XIE Wenjuan CAI Gaipin JIANG Zhihong WU Yebing |
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| Affiliation: | g (School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China) |
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| Abstract: | To solve the noise problem to original signals in the noncontact measurement of roundness errors,a de-noising approach using wavelet transform for original signals is proposed.Wavelet transform have the characteristics of multi-resolution analysis,it can distinguish noise in the process of analysis of signals effectively and has a good de-noising capabilities.The basic principle and the steps to carry out of fast wavelet transform and threshold de-noising are discussed,the evaluation rule for roundness error by means of least squares circle based on wavelet transform is analyzed,and model of least squares circle is derived.By taking advantage of the wavelet toolbox of Matlab,it is proved that the deposing roundness error is effective by using wavelet analysis. |
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| Keywords: | Noncontact measurement Fast wavelet transform Threshold de-noising Least square circle Roundness error |
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