【摘 要】
：
为降低噪声干扰、低频误差及信号漂移等对加速度信号积分位移信号还原度的影响,提出了一种采用自适应噪声的完备集合经验模态分解(CEEMDAN)算法和小波阈值去噪对加速度信号进行预处理,时域积分结合频域积分的位移信号还原方法。通过仿真分析及试验测试结果对比,该方法能够有效降低采集的加速度信号中存在的高低频误差影响。误差评价指标MAE和RMSE均有改善,混合积分方法位移信号还原程度高。
【基金项目】
：
国家高技术研究发展计划(863计划)(2012AA040703)。
论文部分内容阅读
为降低噪声干扰、低频误差及信号漂移等对加速度信号积分位移信号还原度的影响,提出了一种采用自适应噪声的完备集合经验模态分解(CEEMDAN)算法和小波阈值去噪对加速度信号进行预处理,时域积分结合频域积分的位移信号还原方法。通过仿真分析及试验测试结果对比,该方法能够有效降低采集的加速度信号中存在的高低频误差影响。误差评价指标MAE和RMSE均有改善,混合积分方法位移信号还原程度高。
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