膛压测试仪模拟环境因子校准的数据拟合方法研究

针对膛压测试仪环境因子校准中的数据处理采用最小二乘法进行线性拟合，忽略异常值影响的问题，作者采用最小距离平方和法和加权最小二乘法两种方法分别对校准数据进行拟合，从F显著性检验和样本可决系数两个方面对仿真结果分析，并与最小二乘法相对比，找到更适合在高温高压高冲击的恶劣环境下采集的数据进行拟合的可方便使用的方法来代替最小二乘法，从而获得置信度高、可为武器身管设计提供数据依据的灵敏度系数。仿真结果表明，最小距离平方和法拟合效果最优，但其精度与最小二乘法相差很小，综合考虑最小二乘法因其使用简便更适合对膛压的校准数据进行线性拟合。

Research on data fitting method of environmental factor calibration of chamber pressure tester

For chamber pressure tester for environment factor of the calibration data processing using the least square method for linear fitting, ignore the influence of abnormal value problem, the author uses the minimum distance square method and the weighted least squares method respectively to fit the calibration data of the two methods, from F significance test and sample analysis of simulation results of determination coefficient two aspects, and with the least squares method, To find a convenient method for fitting the data collected in the harsh environment of high temperature, high pressure and high impact to replace the least square method, so as to obtain the sensitivity coefficient with high confidence, which can provide data basis for the design of weapon barrel. The simulation results show that the minimum distance sum of squares method has the best fitting effect, but its accuracy is very small compared with the least square method. Considering the least square method is more suitable for linear fitting of the calibration data of chamber pressure because of its simple use.