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作 者:郝旭娥 沈大伟[1] 张艳兵[1] 黄福峰 HAO Xu’e;SHEN Dawei;ZHANG Yanbing;HUANG Fufeng(Key Laboratory of Electronic Testing Technology,North University of China,Taiyuan 030051,China;Liaoshen Industrial Group Co Ltd,Shenyang 110045,China)
机构地区:[1]中北大学电子测试技术重点实验室,山西太原030051 [2]辽沈工业集团有限公司,辽宁沈阳110045
出 处:《传感器与微系统》2022年第9期61-64,76,共5页Transducer and Microsystem Technologies
基 金:山西省装备预研重点实验室基金资助项目(61420010402001)。
摘 要:针对膛压测试仪模拟应用环境下的准静态校准数据存在偶然误差甚至粗差的问题,提出了将整体最小二乘(TLS)法与格拉布斯准则相结合的算法。以TLS法为基础,求解待估参数,并利用准则将异常点踢除,直至所有点在规定的阈值内为止。通过对测压器的校准数据拟合,并将该算法与最小二乘(LS)法和TLS法的待估参数求解对比,仿真实验表明:提出的算法拟合精度更优,对膛压测试仪的校准数据拟合更有适用性。Aiming at the problem of accidental error or even gross error in quasi-static calibration data of chamber pressure tester in simulation application environment, an algorithm combining the total least square(TLS)method and Grubbs criterion is proposed.On the basis of TLS method, the algorithm solves the parameters to be estimated and uses the criterion to remove the outliers until all the points are within the specified threshold.By fitting the calibration data of the pressure gauge, and comparing the algorithm with the least square(LS)method and the TLS method, the simulation results show that the proposed algorithm has better fitting precision and is more suitable for fitting the calibration data of the chamber pressure tester.
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