融合數(shù)字孿生與聲紋識別的礦用機(jī)電設(shè)備故障診斷技術(shù)

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中圖分類號：TN911.7-34；TP391.9 文獻(xiàn)標(biāo)識碼：A 文章編號：1004-373X（2025）10-0052-05

Abstract：In alusion totheproblem that mining electromechanical equipmentisprone to faultsincomplex working environments，thedigital twin technologyofcomputermappng physical entitiesandfaultvoiceprint featurerecognition technologyareresearched，ndamulti-architectureintellgentfaultdagnosissystemforminingelectromechanicalquipment frombotom toappicationisproposed.Intheoverallarchitectureoftheproposedfaultdiagnosissystem，thedigitaltwinthat includesbehavior models，geometric models，rulemodelsand physical models，aswellassensorsandedgedataprocessing modulesrequiredforvoiceprintrecognitionareconstructedinthebottomplayer.Theupperlayerisdividedintodatalayer， systemlayerandapplicationlayer，whichareused torealizefunctionssuchasdataprocesing，modelanalysisandhumanmachineinteraction.Basedondigitaltwinsystem，voiceprintfeatureextractionalgorithm，andextremelearning machineneural network，akeyalgorithmflowintegratingdigitaltwinandvoiceprintrecognitionisdesigned.Theexperimentaltestingresults showthatthephsicalparametererorofdigitaltwinsimulationislow，andtheacuracyoffaultidentificationcanreachabout 90% ，which can meet the needs of engineering applications.

Keywords：mineelectromechanicalequipment；digitaltwin；voiceprintrecognition;faultdetection;inteligentdiagnosis; featurerecognition

0 引言

目前，煤炭能源是我國最主要的能源類型之一，在煤炭開采過程中，礦用機(jī)電設(shè)備穩(wěn)定運(yùn)行是保證安全生產(chǎn)的前提。（剩余4902字）