基于卷積神經(jīng)網(wǎng)絡(luò)的換流變壓器智能檢測算法設(shè)計

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中圖分類號：TM402 文獻標志碼：A 文章編號：2095-2945（2025）20-0142-04

Abstract：Aimingattheshortcomingsof traditional manual inspectionsandregularinspections，suchasloweficiencyand vulnerabilitytohumanfactors，thispaperproposesanoverallplanforinteligentmonitoringtechologyforconvertetrasfoers basedonintellgentalgorithms.First，thegenerationmechanismofconvertertransformersoundsignalsisanalyzedindetai includingnormaloperationsoundsignalsandfaultstatesoundsignals.Secondly，thevoiceprintcolectionofconvertertransfoers andthecompositionofvoiceprintuderfaultconditionsaredescribed.Ten，aninteligentconvertertransfomerdetectionalgorit basedonconvolutionalneuralnetworks（CNNs）isproposed.inally，thefeasiblityandfectivenessofthealgoritmareverified throughexperimentalresults.Theresultsshowthattheintellgentalgorithmcanefectivelyimprovemonitoringaccuracyandearly warning efficiency，reduce false alarm rate，and improve the security and stability of the power system.

Keywords：intelligentalgorithm;convertertransformer；intelligntmonitoring;faultstatesound;convolutionalneuralnetwork

換流變壓器作為高壓直流輸電系統(tǒng)中的關(guān)鍵設(shè)備，其安全可靠運行直接關(guān)系到整個電力系統(tǒng)的穩(wěn)定性和供電質(zhì)量。（剩余5280字）