摘要
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。
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
出处
《汽车实用技术》
2012年第4期76-80,共5页
Automobile Applied Technology
关键词
发动机
虚拟样机
神经网络
故障诊断
electronic-controlled engine
virtual instrument
neural-network
malfunctional diagnosis
