基于CPO-ICEEMDAN-WTD的称重信号去噪方法研究

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关键词：动态称重；信号滤波；经验模态分解；小波软阈值去噪；冠豪猪优化算法；信号分解和重构；样本熵中图分类号：TN911.71-34；TP274 文献标识码：A 文章编号：1004-373X（2026）06-0145-07

Research on weighing signal denoising based on CPO-ICEEMDAN-WTD

ZHAO Shuanfeng，MINYuxuan，LI Xiaoyu （SchoolofMechanicalEngineering，Xi'anUniversityofScienceandTechnology，Xi'an71Oo54，China）

Abstract：Denoisingvehicleaxle weight signalsplayanimportantrole inimproving dynamicweighingaccuracy.Inallusion totheproblemof noiseinterference，amethodof hybridsignaldenoising basedon thecrowned porcupineoptimization （CPO） algorithm tooptimizeand improveadaptivenoisecompleteempirical mode decomposition （ICEEMDAN），sample entropy （SampEn），andwaveletsoftthresholddenoising（WTD）isproposed.TheCPOisused tooptimizethewhitenoiseamplitude weightandthenumberof noiseadditionsof ICEEMDAN，andtheaxleloadsignalofvehicleisdecomposedbyICEEMDANto obtainseveralintrinsicodalcomponents.TempEnofachomponentisalculated，andthetresholdisusedtodisiguish noisycomponents fromuseful components，andperform WTDonthenoisycomponents.Thedenoised signalisconstructed by combiningthe processedcomponentswiththeusefulcomponents.The experimental resultsshow that the proposed method can effectivelyremovethenoiseintheoriginalaxleweightsignal，therebyimprovingthemeasurementacuracyoftheweight-inmotion system.

Keywords：weight-in-motion；signalfiltering;empiricalmodedecomposition；waveletsoftthresholddenoising;crowned porcupine optimization algorithm; signal decomposition and reconstruction; sample entropy

0 引言

在现代交通运输系统中，车辆动态称重（Weigh-InMotion，WIM）技术得到了广泛应用。（剩余9135字）