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  • 标题:Compiling method of automobile fault diagnosis information
  • 本地全文:下载
  • 作者:Guofang Wu ; Fujia Liu ; Shuquan Xu
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2022
  • 卷号:355
  • 页码:1-6
  • DOI:10.1051/matecconf/202235503073
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Automobile fault diagnosis is the most technical content in automobile maintenance. The speed, accuracy and convenience of diagnosis directly affect the maintenance efficiency. Automobile fault diagnosis information is an important reference for finding and solving automobile faults. High quality information is the key to improve technical personnel's judgment and solving faults. In this paper, the methods and examples of fault diagnosis information compilation are given to guide the technical data writers to compile effective fault diagnosis information for automobiles.
  • 关键词:Automobile;Fault;Diagnosis;Information
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