摘要
随着汽车电子技术的突飞猛进,汽车内部结构及相互通信关系越发复杂化,同时用户对汽车故障诊断的及时性和准确性要求也越来越高,这就增加了汽车故障诊断过程中的困难程度和不确定性。通过建立以人工智能神经网络为核心的汽车故障聚类融合系统来对故障进行诊断,既满足远程诊断的实时性,又使诊断售后服务智能化,人性化,将有良好的发展前景。
With the rapid development of automobile electronic technology, automotive interior structure and mutual communication relations are becoming increasingly complex. Meanwhile, users’ requirements for timeliness and accuracy in automobile fault diagnosis are also getting higher, thus increasing the difficulty and uncertainty of automobile fault diagnosis process. The automobile fault clustering integration system with artificial intelligent neural network as the core is established for fault diagnosis, which not only meets the requirement for timeliness, but also makes after-sale diagnosis service intelligent and user-friendly. This system will have a promising development in future.
作者
唐风敏
TANG Feng-min(China Automotive Technology and Research Center Co.,Ltd.,Tianjin 300300,China)
出处
《汽车电器》
2019年第11期4-6,10,共4页
Auto Electric Parts
基金
2017年度国家重点研发计划“新能源汽车”重点专项（2017YFB0102500)
关键词
人工智能
神经网络
汽车故障
聚类融合
artificial intelligence
neural network
automobile fault
clustering integration
