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乏信息材料布氏硬度測量不確定度蒙特卡羅評(píng)定
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中國博士后科學(xué)基金資助項(xiàng)目(023240008)


Poor Information Material Brinell Hardness Measurement Uncertainty Evaluation Based on Monte Carlo Method
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    摘要:

    應(yīng)用蒙特卡羅方法實(shí)現(xiàn)小樣本材料布氏硬度測量不確定度的評(píng)定。依據(jù)測量誤差源標(biāo)定數(shù)據(jù)或布氏硬度測量結(jié)果兩種數(shù)據(jù)處理途徑,,分析已知數(shù)據(jù)的概率分布特性,,通過產(chǎn)生大樣本量的隨機(jī)數(shù)進(jìn)行仿真,,拓寬數(shù)據(jù)樣本空間,,進(jìn)而分別依據(jù)不確定度合成和貝塞爾公式計(jì)算出乏信息材料布氏硬度測量不確定度,。通過具體的測量實(shí)例驗(yàn)證了本方法的可行性,。

    Abstract:

    Based on poor Brinell hardness measurement information, a novel uncertainty evaluation method was described. According to analyzing the data of all error sources or the limited measurement results, characteristics of these data were gained. And then, by big sample random simulations, sample space of these data can be expanded. Finally, in terms of the Bessel formula and the uncertainty synthesis principle, poor information Brinell hardness measurement uncertainty can be evaluated rightfully. By a practical Brinell hardness measurement, the validity of proposed method was proved.

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黃松嶺,葛樂矣,王中宇,趙偉.乏信息材料布氏硬度測量不確定度蒙特卡羅評(píng)定[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2011,42(9):225-229. Huang Songling, Ge Leyi, Wang Zhongyu, Zhao Wei. Poor Information Material Brinell Hardness Measurement Uncertainty Evaluation Based on Monte Carlo Method[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(9):225-229.

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