Automotive Remote Fault Diagnosis Using The Technology Of Artificial Intelligent Neural Network

摘要：

　　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 fusion 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.

关键词： Artificial intelligent Neural network Automobile fault Remote diagnosis Clustering fusion

作者: Rui Qing Chen Jian Ding Feng Min Tang

作者单位: China Automotive Technology & Research Center, Tianjin 300300, China

会议类型: 国际会议

会议名称: 2015 International Conference on Mechanical, Electronics and Information Technology Engineering(ICMITE2015)(2015机械、电子与信息技术工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 623-628

在线出版日期: 2015-03-21（万方平台首次上网日期，不代表论文的发表时间）