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通过归纳工程上常用数据建模方法及其应用特点,且结合贮存条件下加速度计零偏和标度因数试验测量数据变化规律,综合给出了建立零偏时间序列模型和标度因数回归模型的详细步骤,并据此建立了贮存条件下加速度计零偏和标度因数的变化模型,所建模型预测的数据与真实数据相比误差很小,充分验证了模型的有效性.所建模型真实地反映了零偏随机性变化规律和标度因数趋势性变化规律的特点,可以为加速度计零偏和标度因数随时间变化的补偿模型提供参考,为加速度计参数长期变化稳定性水平评价提供手段.
By summarizing the data modeling methods commonly used in engineering and their application characteristics, and combining the zero-bias and scaling factor test of accelerometer under storage conditions to measure the variation of data, a set of regression model of time-series partial bias and scale factor regression model Detailed steps and the establishment of the storage under the conditions of the accelerometer zero bias and scale factor change model, the model predicted data compared with the real data error is small, fully validated the validity of the model.The model is true Reflects the regularity of zero-bias randomness and the trend of scale factor. It can provide a reference for the compensation model of zero-bias and scaling factor of accelerometer over time, and provide a reference for the long-term stability change of accelerometer parameters means.