作者：姜焰鸣, 刘桂雄
作者单位：华南理工大学机械与汽车工程学院, 广东 广州 510640
关键词：平面度误差; 粒子群算法; 概率分布; β分布统示法; 不确定度评估
摘要：
形状误差智能评定采用概率化随机搜索,评定结果存在分散性,针对此问题提出一种不确定度评估方法。以平面度误差粒子群算法评定为例,根据智能评定结果概率分布特性,采用分布统示法拟合其概率分布,并对平面度误差进行区间估计,最后选取仿真平面测量数据进行不确定度评估实验。结果表明,样本个数NS=100、截取百分位数Qp=20时,估计区间能够有效包容平面度误差值,且平均宽度较小,验证基于分布统示法的智能评定不确定度评估可行性。
Uncertainty evaluation of flatness error evaluation based on PSO
JIANG Yan-ming, LIU Gui-xiong
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China
Abstract: Form error intelligent evaluation is using probabilistic random seeking so that evaluation result has a feature of the dispersion, for this problem an uncertainty evaluation method was proposed. Taking the flatness error PSO evaluation for an example, β distribution uniform expression method was used to fit intelligent evaluation results according to its probabilistic distribution features, and then the interval estimation of flatness error was given. Simulation measurement data was selected for uncertainty evaluation. The results showed that when Ns is equal to 100 and Qp is equal to 20, the flatness error interval estimated effectively includes flatness error value, also the average range is short, so that the feasibility of intelligent evaluation uncertainty evaluation based on β distribution uniform expression method was verified.
Keywords: flatness error; PSO; probability distribution; β distribution uniform expression method; uncertainty assessment
2013, 39(1): 13-16 收稿日期: 2012-8-7;收到修改稿日期: 2012-9-24
基金项目: 教育部新世纪优秀人才支持项目(NCET-08-0211);广东省高等学校高层次人才项目(粤教师函[2010]79号文)
作者简介: 姜焰鸣(1983-),男,河南信阳市人,博士研究生,主要从事形状误差智能评定研究。
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