CAJ | 학술논문

针对电控发动机故障的多样性和复杂性,为了便于汽车检修人员更便捷地检测出故障的原因,现研究一种基于虚拟样机和人工神经网络相结合的汽车发动机电控系统故障诊断的新方法。利用虚拟样机技术,可方便地对电控发动机运行状况进行数据采集,配合神经网络系统,能对采集的数据作实时有效的分析,直接给出故障诊断结果。本文结合电控发动机常见的故障现象及其对应的故障部件,介绍虚拟样机的硬件研发过程。
침대전공발동궤고장적다양성화복잡성,위료편우기차검수인원경편첩지검측출고장적원인,현연구일충기우허의양궤화인공신경망락상결합적기차발동궤전공계통고장진단적신방법。이용허의양궤기술,가방편지대전공발동궤운행상황진행수거채집,배합신경망락계통,능대채집적수거작실시유효적분석,직접급출고장진단결과。본문결합전공발동궤상견적고장현상급기대응적고장부건,개소허의양궤적경건연발과정。
Because of the fault of electronic engine control system has the features of diversity and complexity, To facilitate the automobile maintenance staffmore convenient detect the cause of the trouble,A new method of malfunctional diagnosis on automobile electronic control engine is introduced based on virtual instrument and neural-network.By using the virttmlinstrument technique,the data of the running engine is collected easily, and through the neural-network system,the data can be analysed efficiently and the diagnostic result is given immediately. Combined with electronic-controlled engine common fault phenomena and the corresponding fault components, the developing process of virtual instrument＇s hardware was introduced in this paper