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Optimization Acceleration Integral Method Based on Power Spectrum Estimation

机译:基于功率谱估计的优化加速积分方法

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Due to the excellent performance of the frequency domain integration method, it is widely used for acceleration integral calculations. However, the frequency-domain integration needs to select the effective integration frequency band to achieve its optimal integration performance. This paper proposes the method with power spectrum density (PSD) estimation to realize the optimization integral of the acceleration signal. By analysing the power spectrum density of the acceleration signal, the optimal low frequency cut-off frequency is obtained. Combined with frequency domain integration algorithm, it can effectively remove low-frequency noise and improve integral accuracy. Then, the novel algorithm tested by an experiment platform with a vibration bench. Experiment results show that this algorithm can adaptively select the low-frequency cut-off frequency and realize frequency domain integration optimization and the integration error is controlled within ±0.2mm.
机译:由于频域积分方法的出色性能,它被广泛用于加速度积分计算。然而,频域积分需要选择有效的积分频带以实现其最佳的积分性能。提出了一种利用功率谱密度(PSD)估计的方法来实现加速度信号的优化积分。通过分析加速度信号的功率谱密度,可以获得最佳的低频截止频率。结合频域积分算法,可以有效消除低频噪声,提高积分精度。然后,该新算法在带有振动台的实验平台上进行了测试。实验结果表明,该算法可以自适应地选择低频截止频率,实现频域积分优化,积分误差控制在±0.2mm以内。

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