文件名称:aumerical-integ-ration
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: 针对实际振动位移难以获取的问题, 利用振动位移与加速度信号之间的关系, 先对采样后的加速度信
号采用时域数值积分,得到含有趋势项的速度信号及位移信号,再采用拟合多项式极值的方法, 消除积分过程
中产生的趋势项,从而得到更为精确的速度和位移信号. 算例表明, 利用拟合多项式极值消除趋势项的方法,
得到的位移时程曲线拟合精度高-: In pract ical engineering , the collection of displacement data is mo re dif ficult than that of the
acceleratio n data in the time-domain .Displacement sig nals w as g ot f rom acceleration s ignals using
aumerical integrat ion , wi th the t rend o f erro r. Poly nomial fit ting method o f ex t reme value to eliminate
the trend of erro r w as proposed . More precise di splacement data can be acquired f rom thi s algo rithm.
The example show s that thi s alg orithm can get hig h accuracy displacement data f rom the acceleration
data mo re easi ly .
号采用时域数值积分,得到含有趋势项的速度信号及位移信号,再采用拟合多项式极值的方法, 消除积分过程
中产生的趋势项,从而得到更为精确的速度和位移信号. 算例表明, 利用拟合多项式极值消除趋势项的方法,
得到的位移时程曲线拟合精度高-: In pract ical engineering , the collection of displacement data is mo re dif ficult than that of the
acceleratio n data in the time-domain .Displacement sig nals w as g ot f rom acceleration s ignals using
aumerical integrat ion , wi th the t rend o f erro r. Poly nomial fit ting method o f ex t reme value to eliminate
the trend of erro r w as proposed . More precise di splacement data can be acquired f rom thi s algo rithm.
The example show s that thi s alg orithm can get hig h accuracy displacement data f rom the acceleration
data mo re easi ly .
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基于时域积分的加速度信号处理_陈为真.pdf