基于人工智能的汽车机械故障诊断技术

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中图分类号：U472.9 收稿日期：2025-07-08 DOI：10.19999/j.cnki.1004-0226.2026.02.021

Artificial Intelligence-Based Automotive Mechanical Fault Diagnosis Technology

Yan Tianmin Yang Xueli College of Intelligent Networkingand New EnergyVehicles，Geely University，Chengdu 641423，China

Abstract：Thisechologestablshesacomprehensivesystemintegratingsensornetworks，lgorithmicmodels，anddataproesingarchitecturesforutomotivemechanicalfultdagosisPower，transmisionhasisndakingsstemsfreqentlyevelopder sifiedfault paternsduetocomponentwearandperformancedegradation.Byemployingmachinelearminganddeeplearningalgorithms，thesystemextractsulti-souesigalfeatures（rationtemperatureetal.）ndonstructsdagnosticmodelsthoughdata fusion.SupportVectorMachinesenableprecisefultasification，whileConvolutionalNeuralNetworksfacilitatevisualfaultidentif cation.Multimodalanalysissignficantlyancesdiagnosticaccuracy，substantiallimprovingutomotivefultdagnosiseny and reliability to drive intelligent transformation in vehicle maintenance.

Key words：Artificial intelligence;Automotive mechanics;Fault diagnosis;Machine learning;Deep learning

1前言

现代汽车产业发展促使车辆机械系统复杂度持续提升，发动机、变速器等核心部件集成化与电子化程度显著增强。（剩余5198字）