Evaluation of PDF Optimal Estimation of Roundness Error Uncertainty
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摘要: 针对现有工件圆度误差的不确定度评定国标方法不能兼顾简化计算和避免分布假设的问题,对以圆度误差评定为基础的不确定度评定新方法进行研究。首先,基于最小二乘拟合圆法进行误差评定。然后,利用最大熵原理结合粒子群算法求解圆度误差概率密度函数(PDF)的优化估值。最后,利用数值积分对圆度误差不确定度进行评定,并与测量不确定度表示指南(GUM)和蒙特卡罗法(MCM)进行对比验证。结果表明,PDF估计法可实现小样本数据、无分布假设下的圆度误差不确定度评定,算法收敛性好、估值稳定。Abstract: Aiming at the existing national standard method for uncertainty analysis of workpiece measurement error not to simplify calculation and avoid distribution hypothesis, a new method for evaluating uncertainty considering roundness error is studied. Firstly, the least squares fitting method is used to evaluate the error. Then, the optimal estimation of roundness error probability density function (PDF) is solved by using maximum entropy principle and particle swarm optimization (PSO). Finally, the roundness error uncertainty is evaluated by numerical integration and compared with the evaluation by GUM and Monte Carlo method (MCM). The results show that PDF estimation method can evaluate the roundness error uncertainty with small sample data and no distribution assumption, and the algorithm has good convergence and stable estimation.
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Key words:
- roundness error /
- uncertainty analysis /
- maximum entropy principle /
- PSO /
- PDF estimation
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表 1 三坐标测量机实测数据
序号 X/mm Y/mm 1 27.496 2 0.000 9 2 26.913 9 5.628 3 3 25.590 2 10.057 5 4 23.546 8 14.198 1 5 20.843 2 17.934 3 6 17.540 4 21.175 1 7 13.759 5 23.806 1 8 9.578 2 25.773 9 9 5.129 0 27.013 5 10 0.534 7 27.490 8 11 -4.073 5 27.192 7 12 -8.569 5 26.126 0 13 -12.820 6 24.323 8 14 -16.713 6 21.832 7 15 -20.123 3 18.735 6 16 -22.975 7 15.101 4 17 -25.182 1 11.038 6 18 -27.413 5 2.118 0 19 -27.381 5 -2.503 8 20 -26.575 0 -7.053 6 21 -25.018 9 -11.402 5 22 -22.754 0 -15.434 4 23 -19.854 7 -19.018 0 24 -16.388 7 -22.075 3 25 -12.459 8 -24.508 5 26 -8.178 3 -26.249 7 27 -3.675 0 -27.248 1 28 0.932 0 -27.479 2 29 5.529 0 -26.933 5 30 9.947 5 -25.633 3 31 14.099 7 -23.604 7 32 17.853 9 -20.911 5 33 21.099 3 -17.632 5 34 23.753 2 -13.850 6 35 25.734 7 -9.683 9 36 27.489 2 -0.640 4 表 2 最小二乘圆度误差信息表
序号 δ/mm 1 0.002 19 2 0.002 02 3 0.001 98 4 0.001 68 5 0.002 13 6 0.002 19 7 0.002 59 8 0.002 14 9 0.002 32 10 0.002 24 表 3 PDF参数列表
序号 λ0 λ1 λ2 λ3 f1 6.811 0 89.719 5 -171.341 4 -106.560 3 f2 6.811 4 89.536 6 -157.023 0 -91.936 4 f3 6.811 1 89.624 0 -147.488 4 -127.136 3 f4 6.811 3 89.513 9 -125.967 7 -78.100 0 f5 6.811 6 89.355 3 -127.882 5 -84.148 0 f6 6.811 1 89.593 4 -134.553 1 -156.560 4 f7 6.811 2 89.519 1 -121.131 7 -89.244 5 f8 6.811 0 89.771 2 -189.204 1 -119.466 2 f9 6.811 3 89.528 7 -133.726 3 -129.551 9 f10 6.811 1 89.602 2 -141.558 4 -132.423 8 表 4 GUM和MCM评定结果
序号 GUM法 MCM法 δ/mm u/μm δ/mm u/μm 1 0.002 191 0.294 4 0.002 185 0.418 3 2 0.002 026 0.294 2 0.002 023 0.424 4 3 0.001 975 0.319 1 0.001 976 0.412 4 4 0.001 684 0.283 5 0.001 675 0.401 8 5 0.002 129 0.294 8 0.002 127 0.423 1 6 0.002 193 0.294 5 0.002 187 0.418 9 7 0.002 591 0.291 3 0.002 523 0.412 7 8 0.002 136 0.294 1 0.002 133 0.422 3 9 0.002 315 0.293 9 0.002 311 0.410 6 10 0.002 241 0.294 3 0.002 238 0.417 4 表 5 GUM和MCM评定方法对比
名称 δ/mm u/μm PDF估计法 0.002 141 0.262 7 GUM法评定均值 0.002 148 0.295 4 MCM法评定均值 0.002 137 0.416 2 -
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