基于ICEEMDAN-SVD與IBES-TWSVM的OTDR事件識(shí)別算法

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關(guān)鍵詞：光時(shí)域反射計(jì)；ICEEMDAN；SVD；樣本熵；信號(hào)降噪；IBES；TWSVM；事件識(shí)別中圖分類號(hào)：TN929.1-34 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1004-373X（2025）17-0068-09

OTDR event recognition algorithm based on ICEEMDAN-SVD and IBES-TWSVM

SHI Haoming，CHEN Jun （CollgeofPhysicsand InformationEngineering，F(xiàn)uzhou University，F(xiàn)uzhou 35o1o8，China）

Abstract：Inresponsetotheloweventrecognitionaccuracyrateandlengthyprocesing timeinthe traditionalopticalcable faultanalysisandidentificationduetothefactsthattheOTDR（opticaltimedomainrefletometer）signalsareinterferedbynoise anddependentonartificial experience，anOTDReventrecognitionalgorithmbasedonthecombinationof ICEEMDAN-SVDand IBES-TWSVMis proposed.Firstly，ICEEMDAN（improvedcomplete ensembleempirical mode decompositionwithadaptivenoise） isutilizedtodecomposetheOTDRsignalsintomultipleIMFs （intrinsicmodefunctions），andthesampleentropyisemployedto distinguish betweenusefulandnoisecomponentswithintheIMFs.Next，theusefulcomponentsareretained，whilethenoise componentsaresubjectedtoSVD（singularvaluedecomposition）toextractanyresidualusefulsignals.Subsequently，theuseful signals frombothprocesingsarereconstructedtoobtaindenoisedOTDRsignalsFinally，animprovedBES （baldeaglesearch） algorithmisused tooptimizethepenaltyfactorandkernelfunctionparametersofTWSVM（twinsupprtvectormachine）.The optimizedTWSVMisthen trainedand testedbyafeaturedatasettoachieveOTDReventrecognition.Experimentalresults demonstrate thatwhenthenumberof the trainingsamplesis73Oandthatofthetestsamplesis312，thealgorithmachieves an eventrecognitionrateofapproximately95.52%inopticalcablelines，witharecognitiondurationof7.12seconds.Theproposed algorithmoutperformsthe traditionalOTDReventrecognitionalgorithmsin termsofboth eventrecognitionacuracyrateand recognition speed.

KeyWords： OTDR; ICEEMDAN; SVD; sample entropy; signal denoising; IBES; TWSVM; event recognition

0 引言

近年來，隨著電力系統(tǒng)的快速發(fā)展，電力光纜憑借其承載信息量大、傳遞速度快和遠(yuǎn)距離傳輸穩(wěn)定等優(yōu)勢，已成為電力通信系統(tǒng)的主要通信手段。（剩余11102字）