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多个经验模态分解的加速度信号零漂处理方法

Zero drift processing method for acceleration signals using multiple empirical mode decomposition
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摘要 测试具有宽频带、高幅值特点的短时爆炸冲击信号时,常会遇到信号失真的零漂问题。经验模态分解(EMD)虽然常用于消除零漂,但其固有的模态混叠缺陷会导致对爆炸信号的处理效果不理想。为改善这一问题,引入快速集合EMD(FEEMD)和互补集合EMD(CEEMD)对零漂信号进行处理,并与EMD方法对比分析。结果表明:相较于EMD和FEEMD,CEEMD对爆炸冲击信号的去零漂效果最佳,既能消除趋势项,又能保留高频细节。该方法提高了爆炸冲击环境分析的准确度。 When testing short-term explosive shock signals with wideband and high-amplitude characteristics,the problem of zero drift due to signal distortion is often encountered.Although empirical mode decomposition(EMD)is commonly used to eliminate zero drift,its inherent mode aliasing defect can lead to unsatisfactory processing of explosive signals.To address this problem,fast ensemble EMD(FEEMD)and complementary ensemble EMD(CEEMD)are introduced to process zero drift signals,and their performance is compared and analyzed with that of the EMD method.The results indicate that compared to EMD and FEEMD,CEEMD has the best zero drift elimination effect on explosive shock signals,which can eliminate trend terms while preserving high-frequency details.This method improves the accuracy of analyzing explosive shock environments.
作者 付冰婵 文丰 张文俊 FU Bingchan;WEN Feng;ZHANG Wenjun(School of Instrument and Electronics,North University of China,Taiyuan 030051,China;Taiyuan Warner Fangsheng Technology Co Ltd,Taiyuan 030051,China)
出处 《传感器与微系统》 北大核心 2025年第12期141-144,149,共5页 Transducer and Microsystem Technologies
基金 国家自然科学基金资助项目(52175524)。
关键词 零漂 经验模态分解 快速集合经验模态分解 互补集合经验模态分解 信号处理 冲击响应谱 zero drift EMD FEEMD CEEMD signal processing shock response spectra
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