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Fault diagnosis has become a very important area of research during the lastdecade due to the advancement of mechanical and electrical systems inindustries. The automobile is a crucial field where fault diagnosis is given aspecial attention. Due to the increasing complexity and newly added features invehicles, a comprehensive study has to be performed in order to achieve anappropriate diagnosis model. A diagnosis system is capable of identifying thefaults of a system by investigating the observable effects (or symptoms). Thesystem categorizes the fault into a diagnosis class and identifies a probablecause based on the supplied fault symptoms. Fault categorization andidentification are done using similarity matching techniques. The developmentof diagnosis classes is done by making use of previous experience, knowledge orinformation within an application area. The necessary information used may comefrom several sources of knowledge, such as from system analysis. In this papersimilarity matching techniques for fault diagnosis in automotive infotainmentapplications are discussed.

Similarity Matching Techniques for Fault Diagnosis in Automotive Infotainment Electronics