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基于改进的小波阈值的电能质量信号去噪.docx

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基于改进的小波阈值的电能质量信号去噪 摘要： 电能质量信号中含有噪声，降低了信号的准确性和可靠性，因此信号去噪是电子技术领域中的重要问题。为此，本文提出了一种基于改进的小波阈值的电能质量信号去噪方法，该方法结合了小波分析和阈值去噪算法。通过对实验数据的处理，本文证明了该方法的有效性。 关键词：电能质量信号、小波阈值、去噪、改进。 Introduction: Electricpowerqualitysignalreferstothewaveformdistortions,harmonics,interferences,interruptions,voltagedrops,andfrequencyfluctuations.Theseproblemsnotonlyendangerthestabilityandreliabilityofthepowergridbutalsocausesignificanteconomiclosses.Therefore,itiscrucialtomonitorandcontrolthepowerqualitysignaltoensurestableandreliablepowersupply.However,thepowerqualitysignalisoftencomplexandcontainsasignificantamountofnoise,whichseverelyaffectssignalanalysisandprocessing.Therefore,signaldenoisingisacriticalissueinpowerelectronics. Wavelettransformisawidelyusedsignalanalysistoolinthefieldofpowerquality.Itcaneffectivelydecomposeasignalintomultiplefrequencybandsandhasexcellenttime-frequencylocalizationproperties.Thethresholdingmethodiscommonlyusedinwavelet-basedsignaldenoising,whichdividesthewaveletcoefficientsintosignalandnoisecomponentsbasedonapredefinedthresholdvalue.Thethresholdingmethodcaneffectivelysuppressnoisewhilepreservingsignalfeatures,butitalsoleadstothelossofusefulsignalcomponents. Inthispaper,weproposeanimprovedwaveletthreshold-baseddenoisingmethodforpowerqualitysignals.Thismethodcombineswaveletanalysisandthresholdingdenoisingalgorithm.First,thepowerqualitysignalisdecomposedintoseveralfrequencybandsusingthewavelettransform.Then,animprovedthresholdingmethodisusedtocalculatethethresholdvalueadaptivelyforeachfrequencyband.Finally,thedenoisedsignalisreconstructedbytheinversewavelettransform. Experimentalresultsshowtheeffectivenessoftheproposedmethodinsuppressingnoiseandpreservingusefulsignalcomponents.Comparedwithothermethods,theproposedmethodhashighersignal-to-noiseratio(SNR)andlowermeansquareerror(MSE)forpowerqualitysignals. Conclusion: Inthispaper,weproposedanimprovedwaveletthreshold-baseddenoisingmethodforpowerqualitysignals.Theproposedmethodcombineswaveletanalysisandthresholdingdenoisinga