在结构损伤识别的时域法研究中，数值积分的误差将直接影响反演参数结果的精度。
In study on structure damage identification in time domain, error of numerical integral will affect directly accuracy of parameters resulted from reversion.
基于中间点的渐近性质，获得了数值积分的校正公式及其条件误差估计。
Then Based on the asymptotic properties of the intermediate point, corrective formulas of numerical integral and its conditional errors are obtained.
该转换表达式避免了数值积分法求解蠕变柔量值产生舍入误差和采用拉氏变换的繁琐计算。
This expression avoids rounding error brought by numerical integral method and complex calculation of Laplace transforms.
数值微分和积分部分将有较深入讨论，并强调误差和收敛性分析。
Numerical differentiation and integration is covered in depth, with particular emphasis on the error and convergence analysis.
提出了一种只需要存储部分历史数据的分数积分的数值计算方法，并给出了误差估计。
A new numerical method for the fractional integral that only stores part history data is presented, and its discretization error is estimated.
根据数值计算误差的特点分析及小波包多尺度、高分辨的特性，设计了一种基于小波包的滤波器，较好地解决了消除数值积分计算引入误差的问题。
A filter is designed based on wavelet packet according to the features of numerical integral errors and those of multiple scales and high resolving power of wavelet packet.
与数值积分计算结果及实测结果进行了比较，结果表明三者之间的误差甚小。
Compared with the results of the numerical integral calculations and the measurements, it is found that the differences among them are very small.
针对制动之前较长时间的准备运行带来较大测量积累误差的缺点，采用向后数值积分的算法。
To solve the problem of growth in the error of long time of preparative running before braking, a backward algorithm is presented.
针对制动之前较长时间的准备运行带来较大测量积累误差的缺点，采用向后数值积分的算法。
To solve the problem of growth in the error of long time of preparative running before braking, a backward algorithm is presented.
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