汽车信息娱乐电子故障诊断的相似匹配技术
Similarity Matching Techniques for Fault Diagnosis in Automotive Infotainment Electronics
摘要：
由于工业中机械和电气系统的进步，故障诊断在过去十年中已成为一个非常重要的研究领域。汽车是一个重要的领域，故障诊断给予特别关注。由于车辆的复杂性和新增功能的增加，必须进行全面的研究，以实现适当的诊断模型。诊断系统能够通过调查可观察到的效果（或症状）来识别系统的故障。系统将故障分类为诊断类别，并根据提供的故障症状识别可能的原因。故障分类和识别使用相似性匹配技术。诊断类的开发是通过利用以前的经验，知识或应用领域内的信息来完成的。所使用的必要信息可以来自若干知识来源，例如来自系统分析。本文讨论了相似性匹配技术在汽车信息娱乐系统故障诊断中的应用。
英文摘要：
Fault diagnosis has become a very important area of research during the last decade due to the advancement of mechanical and electrical systems in industries. The automobile is a crucial field where fault diagnosis is given a special attention. Due to the increasing complexity and newly added features in vehicles, a comprehensive study has to be performed in order to achieve an appropriate diagnosis model. A diagnosis system is capable of identifying the faults of a system by investigating the observable effects (or symptoms). The system categorizes the fault into a diagnosis class and identifies a probable cause based on the supplied fault symptoms. Fault categorization and identification are done using similarity matching techniques. The development of diagnosis classes is done by making use of previous experience, knowledge or information within an application area. The necessary information used may come from several sources of knowledge, such as from system analysis. In this paper similarity matching techniques for fault diagnosis in automotive infotainment applications are discussed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
