现代电子技术
現代電子技術
현대전자기술
MODERN ELECTRONICS TECHNIQUE
2015年
9期
128-131
,共4页
汽车发动机%电控系统%BP神经网络%故障诊断
汽車髮動機%電控繫統%BP神經網絡%故障診斷
기차발동궤%전공계통%BP신경망락%고장진단
automobile engine%electronic control system%BP neural network%fault diagnosis
针对汽车发动机电控系统结构的复杂性，提出用BP神经网络进行故障诊断的方法。以北京现代05款途胜G4GC型发动机电控系统为实验，并对其进行故障设置，采集发动机故障数据流，运用BP神经网络构建诊断模型，并且改变BP训练方法。诊断结果表明用BP神经网络诊断发动机电控系统故障是行之有效的，具有较好的应用前景。
針對汽車髮動機電控繫統結構的複雜性，提齣用BP神經網絡進行故障診斷的方法。以北京現代05款途勝G4GC型髮動機電控繫統為實驗，併對其進行故障設置，採集髮動機故障數據流，運用BP神經網絡構建診斷模型，併且改變BP訓練方法。診斷結果錶明用BP神經網絡診斷髮動機電控繫統故障是行之有效的，具有較好的應用前景。
침대기차발동궤전공계통결구적복잡성，제출용BP신경망락진행고장진단적방법。이북경현대05관도성G4GC형발동궤전공계통위실험，병대기진행고장설치，채집발동궤고장수거류，운용BP신경망락구건진단모형，병차개변BP훈련방법。진단결과표명용BP신경망락진단발동궤전공계통고장시행지유효적，구유교호적응용전경。
Since the complexity structure in electronic control system of the automobile engine,the method of engine fault diagnosis based on BP neural network is put forward. The electronic control system of Beijing Hyundai Tucson 05 G4GC engine as the experiment example,firstly some fault assumptions are set up,and the fault data flow of engine is collected,then a fault diagnosis model is built by BP neural network and BP training method is changed. The diagnosis result shows that it is effective to apply BP neural network to diagnose faults in engine electronic control system,and has better application prospect.
